An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE)
Identifieur interne : 000336 ( France/Analysis ); précédent : 000335; suivant : 000337An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE)
Auteurs : David M. Baker [France] ; Alain-Jacques Valleron [France]Source :
- International Journal of Health Geographics [ 1476-072X ] ; 2014.
Descripteurs français
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : France.
- diagnosis : Diabetes Mellitus, Type 1.
- epidemiology : Diabetes Mellitus, Type 1.
- methods : Data Mining.
- statistics & numerical data : Data Mining.
- Child, Cohort Studies, Geographic Mapping, Humans, Software, Time Factors.
- mix :
Abstract
Examining whether disease cases are clustered in space is an important part of epidemiological research. Another important part of spatial epidemiology is testing whether patients suffering from a disease are more, or less, exposed to environmental factors of interest than adequately defined controls. Both approaches involve determining the number of cases and controls (or population at risk) in specific zones. For cluster searches, this often must be done for millions of different zones. Doing this by calculating distances can lead to very lengthy computations. In this work we discuss the computational advantages of geographical grid-based methods, and introduce an open source software (FGBASE) which we have created for this purpose.
Geographical grids based on the Lambert Azimuthal Equal Area projection are well suited for spatial epidemiology because they preserve area: each cell of the grid has the same area. We describe how data is projected onto such a grid, as well as grid-based algorithms for spatial epidemiological data-mining. The software program (FGBASE), that we have developed, implements these grid-based methods.
The grid based algorithms perform extremely fast. This is particularly the case for cluster searches. When applied to a cohort of French Type 1 Diabetes (T1D) patients, as an example, the grid based algorithms detected potential clusters in a few seconds on a modern laptop. This compares very favorably to an equivalent cluster search using distance calculations instead of a grid, which took over 4 hours on the same computer. In the case study we discovered 4 potential clusters of T1D cases near the cities of Le Havre, Dunkerque, Toulouse and Nantes. One example of environmental analysis with our software was to study whether a significant association could be found between distance to vineyards with heavy pesticide. None was found. In both examples, the software facilitates the rapid testing of hypotheses.
Grid-based algorithms for mining spatial epidemiological data provide advantages in terms of computational complexity thus improving the speed of computations. We believe that these methods and this software tool (FGBASE) will lower the computational barriers to entry for those performing epidemiological research.
The online version of this article (doi:10.1186/1476-072X-13-46) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/1476-072X-13-46
PubMed: 25358866
PubMed Central: 4233060
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000040
- to stream Pmc, to step Curation: 000038
- to stream Pmc, to step Checkpoint: 000054
- to stream PubMed, to step Corpus: 000117
- to stream PubMed, to step Curation: 000117
- to stream PubMed, to step Checkpoint: 000117
- to stream Ncbi, to step Merge: 000438
- to stream Ncbi, to step Curation: 000438
- to stream Ncbi, to step Checkpoint: 000438
- to stream Hal, to step Corpus: 000038
- to stream Hal, to step Curation: 000038
- to stream Hal, to step Checkpoint: 000198
- to stream Main, to step Merge: 000354
- to stream Main, to step Curation: 000356
- to stream Main, to step Exploration: 000356
- to stream France, to step Extraction: 000336
Links to Exploration step
PMC:4233060Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE)</title><author><name sortKey="Baker, David M" sort="Baker, David M" uniqKey="Baker D" first="David M" last="Baker">David M. Baker</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="4"><nlm:aff id="Aff2">Université Pierre et Marie Curie, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Université Pierre et Marie Curie, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName><orgName type="university">Université Pierre-et-Marie-Curie</orgName><placeName><settlement type="city">Paris</settlement><region type="region" nuts="2">Île-de-France</region></placeName></affiliation></author><author><name sortKey="Valleron, Alain Jacques" sort="Valleron, Alain Jacques" uniqKey="Valleron A" first="Alain-Jacques" last="Valleron">Alain-Jacques Valleron</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="4"><nlm:aff id="Aff2">Université Pierre et Marie Curie, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Université Pierre et Marie Curie, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName><orgName type="university">Université Pierre-et-Marie-Curie</orgName><placeName><settlement type="city">Paris</settlement><region type="region" nuts="2">Île-de-France</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25358866</idno><idno type="pmc">4233060</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4233060</idno><idno type="RBID">PMC:4233060</idno><idno type="doi">10.1186/1476-072X-13-46</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000040</idno><idno type="wicri:Area/Pmc/Curation">000038</idno><idno type="wicri:Area/Pmc/Checkpoint">000054</idno><idno type="wicri:source">PubMed</idno><idno type="wicri:Area/PubMed/Corpus">000117</idno><idno type="wicri:Area/PubMed/Curation">000117</idno><idno type="wicri:Area/PubMed/Checkpoint">000117</idno><idno type="wicri:Area/Ncbi/Merge">000438</idno><idno type="wicri:Area/Ncbi/Curation">000438</idno><idno type="wicri:Area/Ncbi/Checkpoint">000438</idno><idno type="wicri:source">HAL</idno><idno type="RBID">Hal:hal-01328552</idno><idno type="url">http://hal.upmc.fr/hal-01328552</idno><idno type="wicri:Area/Hal/Corpus">000038</idno><idno type="wicri:Area/Hal/Curation">000038</idno><idno type="wicri:Area/Hal/Checkpoint">000198</idno><idno type="wicri:doubleKey">1476-072X:2014:Baker D:an:open:source</idno><idno type="wicri:Area/Main/Merge">000354</idno><idno type="wicri:Area/Main/Curation">000356</idno><idno type="wicri:Area/Main/Exploration">000356</idno><idno type="wicri:Area/France/Extraction">000336</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE)</title><author><name sortKey="Baker, David M" sort="Baker, David M" uniqKey="Baker D" first="David M" last="Baker">David M. Baker</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="4"><nlm:aff id="Aff2">Université Pierre et Marie Curie, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Université Pierre et Marie Curie, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName><orgName type="university">Université Pierre-et-Marie-Curie</orgName><placeName><settlement type="city">Paris</settlement><region type="region" nuts="2">Île-de-France</region></placeName></affiliation></author><author><name sortKey="Valleron, Alain Jacques" sort="Valleron, Alain Jacques" uniqKey="Valleron A" first="Alain-Jacques" last="Valleron">Alain-Jacques Valleron</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Institut National de la Santé et de la Recherche Médicale (U986), Bicêtre Hospital, Paris-Sud University, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName></affiliation><affiliation wicri:level="4"><nlm:aff id="Aff2">Université Pierre et Marie Curie, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Université Pierre et Marie Curie, Paris</wicri:regionArea><placeName><settlement type="city">Paris</settlement></placeName><orgName type="university">Université Pierre-et-Marie-Curie</orgName><placeName><settlement type="city">Paris</settlement><region type="region" nuts="2">Île-de-France</region></placeName></affiliation></author></analytic><series><title level="j">International Journal of Health Geographics</title><idno type="eISSN">1476-072X</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Child</term><term>Cohort Studies</term><term>Data Mining (methods)</term><term>Data Mining (statistics & numerical data)</term><term>Diabetes Mellitus, Type 1 (diagnosis)</term><term>Diabetes Mellitus, Type 1 (epidemiology)</term><term>France (epidemiology)</term><term>Geographic Mapping</term><term>Humans</term><term>Software</term><term>Time Factors</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Diabetes Mellitus, Type 1</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Diabetes Mellitus, Type 1</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Data Mining</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Data Mining</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Child</term><term>Cohort Studies</term><term>Geographic Mapping</term><term>Humans</term><term>Software</term><term>Time Factors</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Logiciel</term></keywords><keywords scheme="mix" xml:lang="en"><term>Cluster</term><term>Computational epidemiology</term><term>Environmental factors</term><term>Geographical grid</term><term>Software</term><term>Type 1 diabetes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Examining whether disease cases are clustered in space is an important part of epidemiological research. Another important part of spatial epidemiology is testing whether patients suffering from a disease are more, or less, exposed to environmental factors of interest than adequately defined controls. Both approaches involve determining the number of cases and controls (or population at risk) in specific zones. For cluster searches, this often must be done for millions of different zones. Doing this by calculating distances can lead to very lengthy computations. In this work we discuss the computational advantages of geographical grid-based methods, and introduce an open source software (FGBASE) which we have created for this purpose.</p></sec><sec><title>Methods</title><p>Geographical grids based on the Lambert Azimuthal Equal Area projection are well suited for spatial epidemiology because they preserve area: each cell of the grid has the same area. We describe how data is projected onto such a grid, as well as grid-based algorithms for spatial epidemiological data-mining. The software program (FGBASE), that we have developed, implements these grid-based methods.</p></sec><sec><title>Results</title><p>The grid based algorithms perform extremely fast. This is particularly the case for cluster searches. When applied to a cohort of French Type 1 Diabetes (T1D) patients, as an example, the grid based algorithms detected potential clusters in a few seconds on a modern laptop. This compares very favorably to an equivalent cluster search using distance calculations instead of a grid, which took over 4 hours on the same computer. In the case study we discovered 4 potential clusters of T1D cases near the cities of Le Havre, Dunkerque, Toulouse and Nantes. One example of environmental analysis with our software was to study whether a significant association could be found between distance to vineyards with heavy pesticide. None was found. In both examples, the software facilitates the rapid testing of hypotheses.</p></sec><sec><title>Conclusions</title><p>Grid-based algorithms for mining spatial epidemiological data provide advantages in terms of computational complexity thus improving the speed of computations. We believe that these methods and this software tool (FGBASE) will lower the computational barriers to entry for those performing epidemiological research.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (doi:10.1186/1476-072X-13-46) contains supplementary material, which is available to authorized users.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Kulldorff, M" uniqKey="Kulldorff M">M Kulldorff</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kulldorff, M" uniqKey="Kulldorff M">M Kulldorff</name></author><author><name sortKey="Nagarwalla, N" uniqKey="Nagarwalla N">N Nagarwalla</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Waller, La" uniqKey="Waller L">LA Waller</name></author><author><name sortKey="Gotway, Ca" uniqKey="Gotway C">CA Gotway</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lawson, Ab" uniqKey="Lawson A">AB Lawson</name></author><author><name sortKey="Denison, Dg" uniqKey="Denison D">DG Denison</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lawson, A" uniqKey="Lawson A">A Lawson</name></author><author><name sortKey="Biggeri, A" uniqKey="Biggeri A">A Biggeri</name></author><author><name sortKey="Bohning, D" uniqKey="Bohning D">D Böhning</name></author><author><name sortKey="Lesaffre, E" uniqKey="Lesaffre E">E Lesaffre</name></author><author><name sortKey="Viel, J F" uniqKey="Viel J">J-F Viel</name></author><author><name sortKey="Bertollini, R" uniqKey="Bertollini R">R Bertollini</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Assuncao, R" uniqKey="Assuncao R">R Assuncao</name></author><author><name sortKey="Costa, M" uniqKey="Costa M">M Costa</name></author><author><name sortKey="Tavares, A" uniqKey="Tavares A">A Tavares</name></author><author><name sortKey="Ferreira, S" uniqKey="Ferreira S">S Ferreira</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bithell, J" uniqKey="Bithell J">J Bithell</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bithell, Jf" uniqKey="Bithell J">JF Bithell</name></author><author><name sortKey="Stone, Ra" uniqKey="Stone R">RA Stone</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Diggle, Pj" uniqKey="Diggle P">PJ Diggle</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Stone, Ra" uniqKey="Stone R">RA Stone</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Jacquez, Gm" uniqKey="Jacquez G">GM Jacquez</name></author><author><name sortKey="Greiling, Da" uniqKey="Greiling D">DA Greiling</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kulldorff, M" uniqKey="Kulldorff M">M Kulldorff</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Fleming, Dm" uniqKey="Fleming D">DM Fleming</name></author><author><name sortKey="Schellevis, Fg" uniqKey="Schellevis F">FG Schellevis</name></author><author><name sortKey="Falcao, I" uniqKey="Falcao I">I Falcao</name></author><author><name sortKey="Alonso, Tv" uniqKey="Alonso T">TV Alonso</name></author><author><name sortKey="Padilla, Ml" uniqKey="Padilla M">ML Padilla</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Annoni, A" uniqKey="Annoni A">A Annoni</name></author><author><name sortKey="Bernard, L" uniqKey="Bernard L">L Bernard</name></author><author><name sortKey="Lillethun, A" uniqKey="Lillethun A">A Lillethun</name></author><author><name sortKey="Ihde, J" uniqKey="Ihde J">J Ihde</name></author><author><name sortKey="Gallego, J" uniqKey="Gallego J">J Gallego</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Epstein, Pr" uniqKey="Epstein P">PR Epstein</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Dobson, Je" uniqKey="Dobson J">JE Dobson</name></author><author><name sortKey="Bright, Ea" uniqKey="Bright E">EA Bright</name></author><author><name sortKey="Coleman, Pr" uniqKey="Coleman P">PR Coleman</name></author><author><name sortKey="Durfee, Rc" uniqKey="Durfee R">RC Durfee</name></author><author><name sortKey="Worley, Ba" uniqKey="Worley B">BA Worley</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Patterson, Cc" uniqKey="Patterson C">CC Patterson</name></author><author><name sortKey="Dahlquist, Gg" uniqKey="Dahlquist G">GG Dahlquist</name></author><author><name sortKey="Gyurus, E" uniqKey="Gyurus E">E Gyürüs</name></author><author><name sortKey="Green, A" uniqKey="Green A">A Green</name></author><author><name sortKey="Soltesz, G" uniqKey="Soltesz G">G Soltész</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mohr, S" uniqKey="Mohr S">S Mohr</name></author><author><name sortKey="Garland, C" uniqKey="Garland C">C Garland</name></author><author><name sortKey="Gorham, E" uniqKey="Gorham E">E Gorham</name></author><author><name sortKey="Garland, F" uniqKey="Garland F">F Garland</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Knip, M" uniqKey="Knip M">M Knip</name></author><author><name sortKey="Virtanen, Sm" uniqKey="Virtanen S">SM Virtanen</name></author><author><name sortKey="Sepp, K" uniqKey="Sepp K">K Seppä</name></author><author><name sortKey="Ilonen, J" uniqKey="Ilonen J">J Ilonen</name></author><author><name sortKey="Savilahti, E" uniqKey="Savilahti E">E Savilahti</name></author><author><name sortKey="Vaarala, O" uniqKey="Vaarala O">O Vaarala</name></author><author><name sortKey="Reunanen, A" uniqKey="Reunanen A">A Reunanen</name></author><author><name sortKey="Teramo, K" uniqKey="Teramo K">K Teramo</name></author><author><name sortKey="H M L Inen, A M" uniqKey="H M L Inen A">A-M Hämäläinen</name></author><author><name sortKey="Paronen, J" uniqKey="Paronen J">J Paronen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Karlen, J" uniqKey="Karlen J">J Karlén</name></author><author><name sortKey="Faresjo, T" uniqKey="Faresjo T">T Faresjö</name></author><author><name sortKey="Ludvigsson, J" uniqKey="Ludvigsson J">J Ludvigsson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hober, D" uniqKey="Hober D">D Hober</name></author><author><name sortKey="Alidjinou, Ek" uniqKey="Alidjinou E">EK Alidjinou</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Forlenza, Gp" uniqKey="Forlenza G">GP Forlenza</name></author><author><name sortKey="Rewers, M" uniqKey="Rewers M">M Rewers</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Nokoff, N" uniqKey="Nokoff N">N Nokoff</name></author><author><name sortKey="Rewers, M" uniqKey="Rewers M">M Rewers</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Association, Ad" uniqKey="Association A">AD Association</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="D Gostino, Rbsr" uniqKey="D Gostino R">RBSR D’Agostino</name></author><author><name sortKey="Massaro, Jm" uniqKey="Massaro J">JM Massaro</name></author><author><name sortKey="Sullivan, Lm" uniqKey="Sullivan L">LM Sullivan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kulldorff, M" uniqKey="Kulldorff M">M Kulldorff</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Purcell, S" uniqKey="Purcell S">S Purcell</name></author><author><name sortKey="Neale, B" uniqKey="Neale B">B Neale</name></author><author><name sortKey="Todd Brown, K" uniqKey="Todd Brown K">K Todd-Brown</name></author><author><name sortKey="Thomas, L" uniqKey="Thomas L">L Thomas</name></author><author><name sortKey="Ferreira, Ma" uniqKey="Ferreira M">MA Ferreira</name></author><author><name sortKey="Bender, D" uniqKey="Bender D">D Bender</name></author><author><name sortKey="Maller, J" uniqKey="Maller J">J Maller</name></author><author><name sortKey="Sklar, P" uniqKey="Sklar P">P Sklar</name></author><author><name sortKey="De Bakker, Pi" uniqKey="De Bakker P">PI De Bakker</name></author><author><name sortKey="Daly, Mj" uniqKey="Daly M">MJ Daly</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hoepman, J H" uniqKey="Hoepman J">J-H Hoepman</name></author><author><name sortKey="Jacobs, B" uniqKey="Jacobs B">B Jacobs</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Steiniger, S" uniqKey="Steiniger S">S Steiniger</name></author><author><name sortKey="Hay, Gj" uniqKey="Hay G">GJ Hay</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Abrams, Am" uniqKey="Abrams A">AM Abrams</name></author><author><name sortKey="Kleinman, Kp" uniqKey="Kleinman K">KP Kleinman</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Paris</li></settlement><orgName><li>Université Pierre-et-Marie-Curie</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Baker, David M" sort="Baker, David M" uniqKey="Baker D" first="David M" last="Baker">David M. Baker</name></noRegion><name sortKey="Baker, David M" sort="Baker, David M" uniqKey="Baker D" first="David M" last="Baker">David M. Baker</name><name sortKey="Valleron, Alain Jacques" sort="Valleron, Alain Jacques" uniqKey="Valleron A" first="Alain-Jacques" last="Valleron">Alain-Jacques Valleron</name><name sortKey="Valleron, Alain Jacques" sort="Valleron, Alain Jacques" uniqKey="Valleron A" first="Alain-Jacques" last="Valleron">Alain-Jacques Valleron</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/France/explor/LeHavreV1/Data/France/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000336 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000336 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/France
|area= LeHavreV1
|flux= France
|étape= Analysis
|type= RBID
|clé= PMC:4233060
|texte= An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE)
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/France/Analysis/RBID.i -Sk "pubmed:25358866" \
| HfdSelect -Kh $EXPLOR_AREA/Data/France/Analysis/biblio.hfd \
| NlmPubMed2Wicri -a LeHavreV1
| This area was generated with Dilib version V0.6.25. |  |