Serveur d'exploration sur la recherche en informatique en Lorraine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

A two-stage normalization method for partially degraded mRNA microarray data

Identifieur interne : 000D62 ( Istex/Corpus ); précédent : 000D61; suivant : 000D63

A two-stage normalization method for partially degraded mRNA microarray data

Auteurs : Li-Yu D. Liu ; Naisyin Wang ; Joanne R. Lupton ; Nancy D. Turner ; Robert S. Chapkin ; Laurie A. Davidson

Source :

RBID : ISTEX:399D03200ACEA8D49F5BC7A5876150C391A906C2

English descriptors

Abstract

Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/

Url:
DOI: 10.1093/bioinformatics/bti661

Links to Exploration step

ISTEX:399D03200ACEA8D49F5BC7A5876150C391A906C2

Le document en format XML

<record>
<TEI wicri:istexFullTextTei="biblStruct">
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">A two-stage normalization method for partially degraded mRNA microarray data</title>
<author>
<name sortKey="Liu, Li Yu D" sort="Liu, Li Yu D" uniqKey="Liu L" first="Li-Yu D." last="Liu">Li-Yu D. Liu</name>
<affiliation>
<mods:affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Wang, Naisyin" sort="Wang, Naisyin" uniqKey="Wang N" first="Naisyin" last="Wang">Naisyin Wang</name>
<affiliation>
<mods:affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>To whom correspondence should be addressed.</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>*To whom correspondence should be addressed.</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Lupton, Joanne R" sort="Lupton, Joanne R" uniqKey="Lupton J" first="Joanne R." last="Lupton">Joanne R. Lupton</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Turner, Nancy D" sort="Turner, Nancy D" uniqKey="Turner N" first="Nancy D." last="Turner">Nancy D. Turner</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chapkin, Robert S" sort="Chapkin, Robert S" uniqKey="Chapkin R" first="Robert S." last="Chapkin">Robert S. Chapkin</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Davidson, Laurie A" sort="Davidson, Laurie A" uniqKey="Davidson L" first="Laurie A." last="Davidson">Laurie A. Davidson</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:399D03200ACEA8D49F5BC7A5876150C391A906C2</idno>
<date when="2005" year="2005">2005</date>
<idno type="doi">10.1093/bioinformatics/bti661</idno>
<idno type="url">https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/fulltext.pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000D62</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000D62</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title level="a" type="main" xml:lang="en">A two-stage normalization method for partially degraded mRNA microarray data</title>
<author>
<name sortKey="Liu, Li Yu D" sort="Liu, Li Yu D" uniqKey="Liu L" first="Li-Yu D." last="Liu">Li-Yu D. Liu</name>
<affiliation>
<mods:affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Wang, Naisyin" sort="Wang, Naisyin" uniqKey="Wang N" first="Naisyin" last="Wang">Naisyin Wang</name>
<affiliation>
<mods:affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>To whom correspondence should be addressed.</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>*To whom correspondence should be addressed.</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Lupton, Joanne R" sort="Lupton, Joanne R" uniqKey="Lupton J" first="Joanne R." last="Lupton">Joanne R. Lupton</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Turner, Nancy D" sort="Turner, Nancy D" uniqKey="Turner N" first="Nancy D." last="Turner">Nancy D. Turner</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chapkin, Robert S" sort="Chapkin, Robert S" uniqKey="Chapkin R" first="Robert S." last="Chapkin">Robert S. Chapkin</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Davidson, Laurie A" sort="Davidson, Laurie A" uniqKey="Davidson L" first="Laurie A." last="Davidson">Laurie A. Davidson</name>
<affiliation>
<mods:affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
<affiliation>
<mods:affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</mods:affiliation>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series>
<title level="j">Bioinformatics</title>
<title level="j" type="abbrev">Bioinformatics</title>
<idno type="ISSN">1367-4803</idno>
<idno type="eISSN">1460-2059</idno>
<imprint>
<publisher>Oxford University Press</publisher>
<date type="published" when="2005-01">2005-01</date>
<biblScope unit="volume">21</biblScope>
<biblScope unit="issue">21</biblScope>
<biblScope unit="page" from="4000">4000</biblScope>
<biblScope unit="page" to="4006">4006</biblScope>
</imprint>
<idno type="ISSN">1367-4803</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<idno type="ISSN">1367-4803</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="Teeft" xml:lang="en">
<term>Array</term>
<term>Baseline</term>
<term>Baseline array</term>
<term>Cdna microarray data</term>
<term>Central location</term>
<term>Codelink</term>
<term>Codelink arrays</term>
<term>Consecutive diet</term>
<term>Corresponding baseline intensities</term>
<term>Degraded</term>
<term>Density plots</term>
<term>Different arrays</term>
<term>Different proportions</term>
<term>Different treatment groups</term>
<term>Direct application</term>
<term>Empirical distribution function</term>
<term>Exfoliated colonocytes</term>
<term>False discovery rates</term>
<term>Fecal</term>
<term>Fecal array data</term>
<term>Fecal bioarray data</term>
<term>Fecal microarray data</term>
<term>Fecal samples</term>
<term>Fecal stream</term>
<term>Gene</term>
<term>Gene expression</term>
<term>Gene expression levels</term>
<term>Genetic information</term>
<term>Green line</term>
<term>Intensity levels</term>
<term>Invasive procedures</term>
<term>Large number</term>
<term>Local polynomial</term>
<term>Median</term>
<term>Microarray</term>
<term>Microarray dataset</term>
<term>Morphologically spots</term>
<term>Mrna</term>
<term>Mrna degradation</term>
<term>Normalization</term>
<term>Normalization methods</term>
<term>Normalization procedure</term>
<term>Normalization procedures</term>
<term>Outlying observations</term>
<term>Possible pairwise combinations</term>
<term>Probe</term>
<term>Proper normalization</term>
<term>Quantile</term>
<term>Quantile method</term>
<term>Quantile normalization</term>
<term>Quantile transformation</term>
<term>Robust inclusion step</term>
<term>Robustness consideration</term>
<term>Same array</term>
<term>Same distribution</term>
<term>Same treatment</term>
<term>Same treatment group</term>
<term>Scanning process</term>
<term>Scatter</term>
<term>Scatter plots</term>
<term>Second step</term>
<term>Simple step</term>
<term>Summary statistics</term>
<term>Total number</term>
<term>Treatment group</term>
<term>Treatment groups</term>
<term>Useful information</term>
</keywords>
</textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/</div>
</front>
</TEI>
<istex>
<corpusName>oup</corpusName>
<keywords>
<teeft>
<json:string>normalization</json:string>
<json:string>microarray</json:string>
<json:string>fecal</json:string>
<json:string>quantile</json:string>
<json:string>scatter plots</json:string>
<json:string>local polynomial</json:string>
<json:string>mrna</json:string>
<json:string>median</json:string>
<json:string>same treatment group</json:string>
<json:string>codelink</json:string>
<json:string>consecutive diet</json:string>
<json:string>quantile normalization</json:string>
<json:string>fecal samples</json:string>
<json:string>normalization procedure</json:string>
<json:string>same treatment</json:string>
<json:string>normalization methods</json:string>
<json:string>degraded</json:string>
<json:string>array</json:string>
<json:string>gene expression levels</json:string>
<json:string>treatment group</json:string>
<json:string>second step</json:string>
<json:string>fecal array data</json:string>
<json:string>different arrays</json:string>
<json:string>baseline</json:string>
<json:string>probe</json:string>
<json:string>central location</json:string>
<json:string>cdna microarray data</json:string>
<json:string>large number</json:string>
<json:string>scanning process</json:string>
<json:string>same array</json:string>
<json:string>baseline array</json:string>
<json:string>exfoliated colonocytes</json:string>
<json:string>outlying observations</json:string>
<json:string>same distribution</json:string>
<json:string>morphologically spots</json:string>
<json:string>scatter</json:string>
<json:string>gene</json:string>
<json:string>treatment groups</json:string>
<json:string>fecal bioarray data</json:string>
<json:string>normalization procedures</json:string>
<json:string>intensity levels</json:string>
<json:string>codelink arrays</json:string>
<json:string>different proportions</json:string>
<json:string>total number</json:string>
<json:string>empirical distribution function</json:string>
<json:string>quantile method</json:string>
<json:string>summary statistics</json:string>
<json:string>gene expression</json:string>
<json:string>possible pairwise combinations</json:string>
<json:string>direct application</json:string>
<json:string>mrna degradation</json:string>
<json:string>density plots</json:string>
<json:string>microarray dataset</json:string>
<json:string>robust inclusion step</json:string>
<json:string>simple step</json:string>
<json:string>robustness consideration</json:string>
<json:string>quantile transformation</json:string>
<json:string>fecal microarray data</json:string>
<json:string>useful information</json:string>
<json:string>proper normalization</json:string>
<json:string>invasive procedures</json:string>
<json:string>fecal stream</json:string>
<json:string>different treatment groups</json:string>
<json:string>corresponding baseline intensities</json:string>
<json:string>green line</json:string>
<json:string>genetic information</json:string>
<json:string>false discovery rates</json:string>
</teeft>
</keywords>
<author>
<json:item>
<name>Li-yu D. Liu</name>
<affiliations>
<json:string>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</json:string>
</affiliations>
</json:item>
<json:item>
<name>Naisyin Wang</name>
<affiliations>
<json:string>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</json:string>
<json:string>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</json:string>
<json:string>To whom correspondence should be addressed.</json:string>
<json:string>*To whom correspondence should be addressed.</json:string>
</affiliations>
</json:item>
<json:item>
<name>Joanne R. Lupton</name>
<affiliations>
<json:string>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</json:string>
<json:string>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</json:string>
</affiliations>
</json:item>
<json:item>
<name>Nancy D. Turner</name>
<affiliations>
<json:string>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</json:string>
<json:string>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</json:string>
</affiliations>
</json:item>
<json:item>
<name>Robert S. Chapkin</name>
<affiliations>
<json:string>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</json:string>
<json:string>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</json:string>
</affiliations>
</json:item>
<json:item>
<name>Laurie A. Davidson</name>
<affiliations>
<json:string>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</json:string>
<json:string>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</json:string>
</affiliations>
</json:item>
</author>
<arkIstex>ark:/67375/HXZ-0TG7DHLM-L</arkIstex>
<language>
<json:string>eng</json:string>
</language>
<originalGenre>
<json:string>other</json:string>
</originalGenre>
<abstract>Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/</abstract>
<qualityIndicators>
<score>8.598</score>
<pdfWordCount>4270</pdfWordCount>
<pdfCharCount>26304</pdfCharCount>
<pdfVersion>1.4</pdfVersion>
<pdfPageCount>7</pdfPageCount>
<pdfPageSize>612 x 792 pts (letter)</pdfPageSize>
<refBibsNative>true</refBibsNative>
<abstractWordCount>194</abstractWordCount>
<abstractCharCount>1424</abstractCharCount>
<keywordCount>0</keywordCount>
</qualityIndicators>
<title>A two-stage normalization method for partially degraded mRNA microarray data</title>
<pmid>
<json:string>16150808</json:string>
</pmid>
<genre>
<json:string>other</json:string>
</genre>
<host>
<title>Bioinformatics</title>
<language>
<json:string>unknown</json:string>
</language>
<issn>
<json:string>1367-4803</json:string>
</issn>
<eissn>
<json:string>1460-2059</json:string>
</eissn>
<publisherId>
<json:string>bioinformatics</json:string>
</publisherId>
<volume>21</volume>
<issue>21</issue>
<pages>
<first>4000</first>
<last>4006</last>
</pages>
<genre>
<json:string>journal</json:string>
</genre>
<subject>
<json:item>
<value>Gene expression</value>
</json:item>
</subject>
</host>
<namedEntities>
<unitex>
<date>
<json:string>2005-09-08</json:string>
</date>
<geogName></geogName>
<orgName>
<json:string>Environmental and Rural Health, Texas A</json:string>
<json:string>Oxford University</json:string>
<json:string>National Institute of Environmental Health Sciences</json:string>
<json:string>Department of Nutrition and Food Science</json:string>
<json:string>NASA grant NAG 9-1523</json:string>
<json:string>NSBRI grant NASA NCC 9-58</json:string>
<json:string>NCI</json:string>
</orgName>
<orgName_funder>
<json:string>NASA grant NAG 9-1523</json:string>
<json:string>NSBRI grant NASA NCC 9-58</json:string>
<json:string>NCI</json:string>
</orgName_funder>
<orgName_provider></orgName_provider>
<persName>
<json:string>Nancy D. Turner</json:string>
<json:string>Laurie A. Davidson</json:string>
<json:string>Robert S. Chapkin</json:string>
<json:string>Joanne R. Lupton</json:string>
</persName>
<placeName></placeName>
<ref_url>
<json:string>http://www.bioconductor.org/</json:string>
<json:string>http://stat.tamu.edu/~daisy/</json:string>
</ref_url>
<ref_bibl>
<json:string>Quackenbush, 2002</json:string>
<json:string>Zien et al., 2001</json:string>
<json:string>Schoor et al. (2003)</json:string>
<json:string>Bolstad et al. (2003)</json:string>
<json:string>Kerr et al. (2000)</json:string>
<json:string>Yang and Dudoit (2002)</json:string>
<json:string>Bolstad et al., 2003</json:string>
<json:string>Zien et al. (2001)</json:string>
<json:string>Yang and Throne (2003)</json:string>
<json:string>Dudoit et al., 2002</json:string>
<json:string>Kanaoka et al. (2004)</json:string>
<json:string>Schadt et al., 2001</json:string>
<json:string>Davidson et al. (1995, 2003)</json:string>
<json:string>Li and Wong, 2001</json:string>
<json:string>Sidorov et al. (2002)</json:string>
<json:string>Kerr and Churchill (2001)</json:string>
<json:string>Y.D.Liu et al.</json:string>
</ref_bibl>
<bibl></bibl>
</unitex>
</namedEntities>
<ark>
<json:string>ark:/67375/HXZ-0TG7DHLM-L</json:string>
</ark>
<categories>
<wos>
<json:string>science</json:string>
<json:string>mathematical & computational biology</json:string>
<json:string>biotechnology & applied microbiology</json:string>
<json:string>biochemical research methods</json:string>
</wos>
<scienceMetrix>
<json:string>applied sciences</json:string>
<json:string>enabling & strategic technologies</json:string>
<json:string>bioinformatics</json:string>
</scienceMetrix>
<scopus>
<json:string>1 - Physical Sciences</json:string>
<json:string>2 - Mathematics</json:string>
<json:string>3 - Computational Mathematics</json:string>
<json:string>1 - Physical Sciences</json:string>
<json:string>2 - Computer Science</json:string>
<json:string>3 - Computational Theory and Mathematics</json:string>
<json:string>1 - Physical Sciences</json:string>
<json:string>2 - Computer Science</json:string>
<json:string>3 - Computer Science Applications</json:string>
<json:string>1 - Life Sciences</json:string>
<json:string>2 - Biochemistry, Genetics and Molecular Biology</json:string>
<json:string>3 - Molecular Biology</json:string>
<json:string>1 - Life Sciences</json:string>
<json:string>2 - Biochemistry, Genetics and Molecular Biology</json:string>
<json:string>3 - Biochemistry</json:string>
<json:string>1 - Physical Sciences</json:string>
<json:string>2 - Mathematics</json:string>
<json:string>3 - Statistics and Probability</json:string>
</scopus>
<inist>
<json:string>sciences appliquees, technologies et medecines</json:string>
<json:string>sciences biologiques et medicales</json:string>
<json:string>sciences medicales</json:string>
<json:string>informatique, statistique et modelisations biomedicales</json:string>
</inist>
</categories>
<publicationDate>2005</publicationDate>
<copyrightDate>2005</copyrightDate>
<doi>
<json:string>10.1093/bioinformatics/bti661</json:string>
</doi>
<id>399D03200ACEA8D49F5BC7A5876150C391A906C2</id>
<score>1</score>
<fulltext>
<json:item>
<extension>pdf</extension>
<original>true</original>
<mimetype>application/pdf</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/fulltext.pdf</uri>
</json:item>
<json:item>
<extension>zip</extension>
<original>false</original>
<mimetype>application/zip</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/bundle.zip</uri>
</json:item>
<istex:fulltextTEI uri="https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/fulltext.tei">
<teiHeader>
<fileDesc>
<titleStmt>
<title level="a" type="main" xml:lang="en">A two-stage normalization method for partially degraded mRNA microarray data</title>
</titleStmt>
<publicationStmt>
<authority>ISTEX</authority>
<publisher scheme="https://publisher-list.data.istex.fr">Oxford University Press</publisher>
<availability>
<licence>
<p>© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</p>
</licence>
<p scheme="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-GTWS0RDP-M">oup</p>
</availability>
<date>2005-09-08</date>
</publicationStmt>
<notesStmt>
<note type="other" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-7474895G-0">other</note>
<note type="journal" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</note>
<note>*To whom correspondence should be addressed.</note>
</notesStmt>
<sourceDesc>
<biblStruct type="inbook">
<analytic>
<title level="a" type="main" xml:lang="en">A two-stage normalization method for partially degraded mRNA microarray data</title>
<author xml:id="author-0000">
<persName>
<forename type="first">Li-yu D.</forename>
<surname>Liu</surname>
</persName>
<affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</affiliation>
</author>
<author xml:id="author-0001">
<persName>
<forename type="first">Naisyin</forename>
<surname>Wang</surname>
</persName>
<affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>To whom correspondence should be addressed.</affiliation>
<affiliation>*To whom correspondence should be addressed.</affiliation>
</author>
<author xml:id="author-0002">
<persName>
<forename type="first">Joanne R.</forename>
<surname>Lupton</surname>
</persName>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
</author>
<author xml:id="author-0003">
<persName>
<forename type="first">Nancy D.</forename>
<surname>Turner</surname>
</persName>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
</author>
<author xml:id="author-0004">
<persName>
<forename type="first">Robert S.</forename>
<surname>Chapkin</surname>
</persName>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
</author>
<author xml:id="author-0005">
<persName>
<forename type="first">Laurie A.</forename>
<surname>Davidson</surname>
</persName>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
</author>
<idno type="istex">399D03200ACEA8D49F5BC7A5876150C391A906C2</idno>
<idno type="ark">ark:/67375/HXZ-0TG7DHLM-L</idno>
<idno type="DOI">10.1093/bioinformatics/bti661</idno>
<idno type="local">bti661</idno>
</analytic>
<monogr>
<title level="j">Bioinformatics</title>
<title level="j" type="abbrev">Bioinformatics</title>
<idno type="pISSN">1367-4803</idno>
<idno type="eISSN">1460-2059</idno>
<idno type="publisher-id">bioinformatics</idno>
<idno type="PublisherID-hwp">bioinfo</idno>
<idno type="PublisherID-nlm-ta">Bioinformatics</idno>
<imprint>
<publisher>Oxford University Press</publisher>
<date type="published" when="2005-01"></date>
<biblScope unit="volume">21</biblScope>
<biblScope unit="issue">21</biblScope>
<biblScope unit="page" from="4000">4000</biblScope>
<biblScope unit="page" to="4006">4006</biblScope>
</imprint>
</monogr>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<creation>
<date>2005-09-08</date>
</creation>
<langUsage>
<language ident="en">en</language>
</langUsage>
<abstract xml:lang="en">
<p>Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/</p>
</abstract>
<textClass>
<keywords scheme="Journal Subject">
<list>
<head></head>
<item>
<term>Gene expression</term>
</item>
</list>
</keywords>
</textClass>
</profileDesc>
<revisionDesc>
<change when="2005-09-08">Created</change>
<change when="2005-01">Published</change>
</revisionDesc>
</teiHeader>
</istex:fulltextTEI>
<json:item>
<extension>txt</extension>
<original>false</original>
<mimetype>text/plain</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/fulltext.txt</uri>
</json:item>
</fulltext>
<metadata>
<istex:metadataXml wicri:clean="corpus oup, element #text not found" wicri:toSee="no header">
<istex:xmlDeclaration>version="1.0" encoding="US-ASCII"</istex:xmlDeclaration>
<istex:docType PUBLIC="-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" URI="journalpublishing.dtd" name="istex:docType"></istex:docType>
<istex:document>
<article xml:lang="en" article-type="other">
<front>
<journal-meta>
<journal-id journal-id-type="hwp">bioinfo</journal-id>
<journal-id journal-id-type="nlm-ta">Bioinformatics</journal-id>
<journal-id journal-id-type="publisher-id">bioinformatics</journal-id>
<journal-title>Bioinformatics</journal-title>
<abbrev-journal-title abbrev-type="publisher">Bioinformatics</abbrev-journal-title>
<issn pub-type="ppub">1367-4803</issn>
<issn pub-type="epub">1460-2059</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="other">bti661</article-id>
<article-id pub-id-type="doi">10.1093/bioinformatics/bti661</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>ORIGINAL PAPERS</subject>
<subj-group>
<subject>Gene expression</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A two-stage normalization method for partially degraded mRNA microarray data</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Li-yu D.</given-names>
</name>
<xref rid="AU1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Naisyin</given-names>
</name>
<xref rid="AU1">1</xref>
<xref rid="AU3">3</xref>
<xref rid="COR1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lupton</surname>
<given-names>Joanne R.</given-names>
</name>
<xref rid="AU2">2</xref>
<xref rid="AU3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Turner</surname>
<given-names>Nancy D.</given-names>
</name>
<xref rid="AU2">2</xref>
<xref rid="AU3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chapkin</surname>
<given-names>Robert S.</given-names>
</name>
<xref rid="AU2">2</xref>
<xref rid="AU3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Davidson</surname>
<given-names>Laurie A.</given-names>
</name>
<xref rid="AU2">2</xref>
<xref rid="AU3">3</xref>
</contrib>
<aff id="AU1">
<sup>1</sup>
Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</aff>
<aff id="AU2">
<sup>2</sup>
Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</aff>
<aff id="AU3">
<sup>3</sup>
Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</aff>
</contrib-group>
<author-notes>
<corresp id="COR1">
<sup>*</sup>
To whom correspondence should be addressed.</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>8</day>
<month>9</month>
<year>2005</year>
</pub-date>
<pub-date pub-type="ppub">
<day>1</day>
<year>2005</year>
</pub-date>
<volume>21</volume>
<issue>21</issue>
<fpage>4000</fpage>
<lpage>4006</lpage>
<history>
<date date-type="accepted">
<day>1</day>
<month>9</month>
<year>2005</year>
</date>
<date date-type="received">
<day>3</day>
<month>6</month>
<year>2005</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>8</month>
<year>2005</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email:
<ext-link xlink:href="journals.permissions@oxfordjournals.org" ext-link-type="email">journals.permissions@oxfordjournals.org</ext-link>
</copyright-statement>
<copyright-year>2005</copyright-year>
</permissions>
<abstract xml:lang="en">
<p>
<bold>Motivation:</bold>
The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data.</p>
<p>
<bold>Results:</bold>
We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods.</p>
<p>
<bold>Availability:</bold>
The R codes implementing the two-stage method may be obtained from the corresponding author.</p>
<p>
<bold>Contact:</bold>
<ext-link xlink:href="nwang@stat.tamu.edu" ext-link-type="email">nwang@stat.tamu.edu</ext-link>
</p>
<p>
<bold>Supplementary information:</bold>
Additional figures including scatter plots, MA plots and density plots of array differences may be found at
<ext-link xlink:href="http://stat.tamu.edu/~daisy/NSBRI/" ext-link-type="url">http://stat.tamu.edu/~daisy/NSBRI/</ext-link>
</p>
</abstract>
<custom-meta-wrap>
<custom-meta>
<meta-name>hwp-legacy-fpage</meta-name>
<meta-value>4000</meta-value>
</custom-meta>
<custom-meta>
<meta-name>cover-date</meta-name>
<meta-value></meta-value>
</custom-meta>
<custom-meta>
<meta-name>hwp-legacy-dochead</meta-name>
<meta-value>research-article</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
</article>
</istex:document>
</istex:metadataXml>
<mods version="3.6">
<titleInfo lang="en">
<title>A two-stage normalization method for partially degraded mRNA microarray data</title>
</titleInfo>
<titleInfo type="alternative" lang="en" contentType="CDATA">
<title>A two-stage normalization method for partially degraded mRNA microarray data</title>
</titleInfo>
<name type="personal">
<namePart type="given">Li-yu D.</namePart>
<namePart type="family">Liu</namePart>
<affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naisyin</namePart>
<namePart type="family">Wang</namePart>
<affiliation>Department of Agronomy, Biostatistic Division, National Taiwan University Taipei, Taiwan</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>To whom correspondence should be addressed.</affiliation>
<affiliation>*To whom correspondence should be addressed.</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joanne R.</namePart>
<namePart type="family">Lupton</namePart>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nancy D.</namePart>
<namePart type="family">Turner</namePart>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Robert S.</namePart>
<namePart type="family">Chapkin</namePart>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Laurie A.</namePart>
<namePart type="family">Davidson</namePart>
<affiliation>Department of Nutrition and Food Science, Texas A&M University College Station, TX, USA</affiliation>
<affiliation>Center for Environmental and Rural Health, Texas A&M University College Station, TX, USA</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<typeOfResource>text</typeOfResource>
<genre type="other" displayLabel="other" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-7474895G-0">other</genre>
<originInfo>
<publisher>Oxford University Press</publisher>
<dateIssued encoding="w3cdtf">2005-01</dateIssued>
<dateCreated encoding="w3cdtf">2005-09-08</dateCreated>
<copyrightDate encoding="w3cdtf">2005</copyrightDate>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
</language>
<abstract lang="en">Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location–scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/</abstract>
<note type="author-notes">*To whom correspondence should be addressed.</note>
<relatedItem type="host">
<titleInfo>
<title>Bioinformatics</title>
</titleInfo>
<titleInfo type="abbreviated">
<title>Bioinformatics</title>
</titleInfo>
<genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre>
<subject>
<topic>Gene expression</topic>
</subject>
<identifier type="ISSN">1367-4803</identifier>
<identifier type="eISSN">1460-2059</identifier>
<identifier type="PublisherID">bioinformatics</identifier>
<identifier type="PublisherID-hwp">bioinfo</identifier>
<identifier type="PublisherID-nlm-ta">Bioinformatics</identifier>
<part>
<date>2005</date>
<detail type="volume">
<caption>vol.</caption>
<number>21</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>21</number>
</detail>
<extent unit="pages">
<start>4000</start>
<end>4006</end>
</extent>
</part>
</relatedItem>
<identifier type="istex">399D03200ACEA8D49F5BC7A5876150C391A906C2</identifier>
<identifier type="DOI">10.1093/bioinformatics/bti661</identifier>
<identifier type="local">bti661</identifier>
<accessCondition type="use and reproduction" contentType="copyright">© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</accessCondition>
<recordInfo>
<recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-GTWS0RDP-M">oup</recordContentSource>
<recordOrigin>© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</recordOrigin>
</recordInfo>
</mods>
<json:item>
<extension>json</extension>
<original>false</original>
<mimetype>application/json</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/record.json</uri>
</json:item>
</metadata>
<annexes>
<json:item>
<extension>jpeg</extension>
<original>true</original>
<mimetype>image/jpeg</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/annexes.jpeg</uri>
</json:item>
<json:item>
<extension>gif</extension>
<original>true</original>
<mimetype>image/gif</mimetype>
<uri>https://api.istex.fr/ark:/67375/HXZ-0TG7DHLM-L/annexes.gif</uri>
</json:item>
</annexes>
<serie></serie>
</istex>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D62 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000D62 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Istex
   |étape=   Corpus
   |type=    RBID
   |clé=     ISTEX:399D03200ACEA8D49F5BC7A5876150C391A906C2
   |texte=   A two-stage normalization method for partially degraded mRNA microarray data
}}

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Jun 10 21:56:28 2019. Site generation: Fri Feb 25 15:29:27 2022