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Darlene R Goldstein

Showing results (1-10 of 22) with videos related to

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Bioinformatics (Oxford, England)|August 1, 2006
Partition resampling and extrapolation averaging: approximation methods for quantifying gene expression in large numbers of short oligonucleotide arraysDarlene R Goldstein
Biostatistics (Oxford, England)|May 20, 2015
Meta-analysis of incomplete microarray studiesAlix Zollinger, Anthony C Davison, Darlene R Goldstein
Biostatistics (Oxford, England)|November 7, 2017
Automatic module selection from several microarray gene expression studiesAlix Zollinger, Anthony C Davison, Darlene R Goldstein
Biomarkers in Medicine|May 19, 2010
Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needsFrancis Jacob, Darlene R Goldstein, Daniel Fink, et al.
Biostatistics (Oxford, England)|March 28, 2006
A Laplace mixture model for identification of differential expression in microarray experimentsDebjani Bhowmick, A C Davison, Darlene R Goldstein, et al.
Journal of Immunology (Baltimore, Md. : 1950)|September 5, 2006
Mechanisms regulating the proliferative potential of human CD8+ T lymphocytes overexpressing telomeraseOlivier Menzel, Marco Migliaccio, Darlene R Goldstein, et al.
International Journal of Food Microbiology|May 23, 2006
Interaction of bifidobacteria with Caco-2 cells-adhesion and impact on expression profilesChristian U Riedel, Francis Foata, Darlene R Goldstein, et al.
BMC Bioinformatics|February 4, 2009
Selecting control genes for RT-QPCR using public microarray dataVlad Popovici, Darlene R Goldstein, Janine Antonov, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 14, 2005
Reliable gene expression measurements from degraded RNA by quantitative real-time PCR depend on short amplicons and a proper normalizationJanine Antonov, Darlene R Goldstein, Andrea Oberli, et al.
Biomed Research International|July 24, 2013
Meta-analysis of microarray data identifies GAS6 expression as an independent predictor of poor survival in ovarian cancerMichelle Buehler, Brian Tse, Alix Leboucq, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|August 1, 2006
Partition resampling and extrapolation averaging: approximation methods for quantifying gene expression in large numbers of short oligonucleotide arraysDarlene R Goldstein
Biostatistics (Oxford, England)|May 20, 2015
Meta-analysis of incomplete microarray studiesAlix Zollinger, Anthony C Davison, Darlene R Goldstein
Biostatistics (Oxford, England)|November 7, 2017
Automatic module selection from several microarray gene expression studiesAlix Zollinger, Anthony C Davison, Darlene R Goldstein
Biomarkers in Medicine|May 19, 2010
Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needsFrancis Jacob, Darlene R Goldstein, Daniel Fink, et al.
Biostatistics (Oxford, England)|March 28, 2006
A Laplace mixture model for identification of differential expression in microarray experimentsDebjani Bhowmick, A C Davison, Darlene R Goldstein, et al.
Journal of Immunology (Baltimore, Md. : 1950)|September 5, 2006
Mechanisms regulating the proliferative potential of human CD8+ T lymphocytes overexpressing telomeraseOlivier Menzel, Marco Migliaccio, Darlene R Goldstein, et al.
International Journal of Food Microbiology|May 23, 2006
Interaction of bifidobacteria with Caco-2 cells-adhesion and impact on expression profilesChristian U Riedel, Francis Foata, Darlene R Goldstein, et al.
BMC Bioinformatics|February 4, 2009
Selecting control genes for RT-QPCR using public microarray dataVlad Popovici, Darlene R Goldstein, Janine Antonov, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 14, 2005
Reliable gene expression measurements from degraded RNA by quantitative real-time PCR depend on short amplicons and a proper normalizationJanine Antonov, Darlene R Goldstein, Andrea Oberli, et al.
Biomed Research International|July 24, 2013
Meta-analysis of microarray data identifies GAS6 expression as an independent predictor of poor survival in ovarian cancerMichelle Buehler, Brian Tse, Alix Leboucq, et al.
Pageof 3