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quantification < quantitative < quantum  Facettes :

List of bibliographic references indexed by quantitative

Number of relevant bibliographic references: 20.
Ident.Authors (with country if any)Title
000495 (2020) Paulo Ricardo Martins-Filho ; Carolina Santos Souza Tavares ; Victor Santana Santos [Brésil]Factors associated with mortality in patients with COVID-19. A quantitative evidence synthesis of clinical and laboratory data
000634 (2020) Jaegyun Lim [Corée du Sud] ; Seunghyun Jeon [Corée du Sud] ; Hyun-Young Shin [Corée du Sud] ; Moon Jung Kim [Corée du Sud] ; Yu Min Seong [Corée du Sud] ; Wang Jun Lee [Corée du Sud] ; Kang-Won Choe [Corée du Sud] ; Yu Min Kang [Corée du Sud] ; Baeckseung Lee [Corée du Sud] ; Sang-Joon Park [Corée du Sud]Case of the Index Patient Who Caused Tertiary Transmission of Coronavirus Disease 2019 in Korea: the Application of Lopinavir/Ritonavir for the Treatment of COVID-19 Pneumonia Monitored by Quantitative RT-PCR
000A87 (2017) Zehui Qu ; Fei Gao ; Liwei Li ; Yujiao Zhang ; Yifeng Jiang ; Lingxue Yu ; Yanjun Zhou ; Hao Zheng ; Wu Tong ; Guoxin Li ; Guangzhi TongLabel‐Free Quantitative Proteomic Analysis of Differentially Expressed Membrane Proteins of Pulmonary Alveolar Macrophages Infected with Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus and Its Attenuated Strain
000D65 (2015) Yanting Sun [République populaire de Chine] ; Boli Hu [République populaire de Chine] ; Chengfei Fan [République populaire de Chine] ; Lu Jia [République populaire de Chine] ; Yina Zhang [République populaire de Chine] ; Aifang Du [République populaire de Chine] ; Xiaojuan Zheng [République populaire de Chine] ; Jiyong Zhou [République populaire de Chine]iTRAQ‐based quantitative subcellular proteomic analysis of Avibirnavirus‐infected cells
000F63 (2014) Kenneth Shatzkes ; Belete Teferedegne ; Haruhiko Murata [États-Unis]A simple, inexpensive method for preparing cell lysates suitable for downstream reverse transcription quantitative PCR.
001104 (2013) Mihai V. Putz [Roumanie] ; Nicoleta A. Duda [Roumanie]Variational principles for mechanistic quantitative structure–activity relationship (QSAR) studies: application on uracil derivatives’ anti-HIV action
001448 (2012) Stefanie S. Jourdan [Royaume-Uni] ; Fernando Osorio [États-Unis] ; Julian A. Hiscox [Royaume-Uni]An interactome map of the nucleocapsid protein from a highly pathogenic North American porcine reproductive and respiratory syndrome virus strain generated using SILAC‐based quantitative proteomics
001524 (2011) Mijke W. Vogels ; Bas W. M. Van Balkom ; Albert J. R. Heck ; Cornelis A. M. De Haan ; Peter J. M. Rottier ; Joseph J. Batenburg ; Dora V. Kaloyanova ; J. Bernd HelmsQuantitative proteomic identification of host factors involved in the Salmonella typhimurium infection cycle
001653 (2011) Mijke W. Vogels [Pays-Bas] ; Bas W. M. Van Balkom [Pays-Bas] ; Dora V. Kaloyanova [Pays-Bas] ; Joseph J. Batenburg [Pays-Bas] ; Albert J. Heck [Pays-Bas] ; J. Bernd Helms [Pays-Bas] ; Peter J. M. Rottier [Pays-Bas] ; Cornelis A. M. De Haan [Pays-Bas]Identification of host factors involved in coronavirus replication by quantitative proteomics analysis
001762 (2010) Edward Emmott [Royaume-Uni] ; Helen Wise ; Eva M. Loucaides ; David A. Matthews ; Paul Digard ; Julian A. HiscoxQuantitative proteomics using SILAC coupled to LC-MS/MS reveals changes in the nucleolar proteome in influenza A virus-infected cells.
001763 (2010) Liang Zhang ; Zhi-Ping Zhang ; Xian-En Zhang ; Fu-Sen Lin ; Feng GeQuantitative proteomics analysis reveals BAG3 as a potential target to suppress severe acute respiratory syndrome coronavirus replication.
001764 (2010) Diane C. Munday ; Julian A. Hiscox ; John N. BarrQuantitative proteomic analysis of A549 cells infected with human respiratory syncytial virus subgroup B using SILAC coupled to LC‐MS/MS
001765 (2010) Angela Van Diepen [Pays-Bas] ; H Kim Brand ; Iziah Sama ; Lambert H J. Lambooy ; Lambert P. Van Den Heuvel ; Leontine Van Der Well ; Martijn Huynen ; Albert D M E. Osterhaus ; Arno C. Andeweg ; Peter W M. HermansQuantitative proteome profiling of respiratory virus-infected lung epithelial cells.
001788 (2010) Edward Emmott ; Catriona Smith ; Stevan R. Emmett ; Brian K. Dove ; Julian A. HiscoxElucidation of the avian nucleolar proteome by quantitative proteomics using SILAC and changes in cells infected with the coronavirus infectious bronchitis virus
001956 (2010) Tiziana Mascia [Italie] ; Elisa Santovito [Italie] ; Donato Gallitelli [Italie] ; Fabrizio Cillo [Italie]Evaluation of reference genes for quantitative reverse‐transcription polymerase chain reaction normalization in infected tomato plants
001A60 (2009) Diana Vester [Allemagne] ; Erdmann Rapp ; Dörte Gade ; Yvonne Genzel ; Udo ReichlQuantitative analysis of cellular proteome alterations in human influenza A virus-infected mammalian cell lines.
002626 (2005) S C C. Wong [République populaire de Chine] ; J K C. Chan [République populaire de Chine] ; K C Lee [République populaire de Chine] ; E S F. Lo [République populaire de Chine] ; D N C. Tsang [République populaire de Chine]Development of a quantitative assay for SARS coronavirus and correlation of GAPDH mRNA with SARS coronavirus in clinical specimens
002D27 (2001) Patricia A. Curtin [États-Unis] ; Scott R. Maier [États-Unis]Numbers in the Newsroom: A Qualitative Examination of a Quantitative Challenge
003034 (1998) Jagdeep S. Sandhu [États-Unis] ; Carl I. Webster [Royaume-Uni] ; John C. Gray [Royaume-Uni]A/T-rich sequences act as quantitative enhancers of gene expression in transgenic tobacco and potato plants
003885 (1956) R W Schlesinger ; H V KarrInfluenza virus and its mucoprotein substrate in the chorioallantoic membrane of the chick embryo. I. Characterization and quantitative assay of soluble substrate and studies on its relation to allantoic cells.

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