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Raphael Gottardo

Showing results (1-10 of 187) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|July 10, 2009
Modeling and analysis of ChIP-chip experimentsRaphael Gottardo
Statistics and Computing|November 30, 2011
Flexible mixture modeling via the multivariate t distribution with the Box-Cox transformation: an alternative to the skew-t distributionKenneth Lo, Raphael Gottardo
Briefings in Bioinformatics|November 30, 2012
Comparability and reproducibility of biomedical dataYunda Huang, Raphael Gottardo
Biometrics|April 11, 2016
Bayesian hierarchical modeling for subject-level response classification in peptide microarray immunoassaysGregory Imholte, Raphael Gottardo
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2016
Promises and Pitfalls of High-Throughput Biological AssaysGreg Finak, Raphael Gottardo
Bioinformatics (Oxford, England)|December 2, 2006
Flexible empirical Bayes models for differential gene expressionKenneth Lo, Raphael Gottardo
Cell Reports Methods|February 27, 2024
An approach for integrating multimodal omics data into sparse and interpretable modelsYixing Dong, Raphael Gottardo
Bioinformatics (Oxford, England)|January 22, 2010
rMAT--an R/Bioconductor package for analyzing ChIP-chip experimentsArnaud Droit, Charles Cheung, Raphael Gottardo
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 15, 2018
CytoML for cross-platform cytometry data sharingGreg Finak, Wenxin Jiang, Raphael Gottardo
Methods in Molecular Biology (Clifton, N.J.)|October 23, 2015
Analyzing Peptide Microarray Data with the R pepStat PackageGregory Imholte, Renan Sauteraud, Raphael Gottardo
Pageof 19

Showing results (1-10 of 187) with videos related to

Sort By:
Pageof 19
Methods in Molecular Biology (Clifton, N.J.)|July 10, 2009
Modeling and analysis of ChIP-chip experimentsRaphael Gottardo
Statistics and Computing|November 30, 2011
Flexible mixture modeling via the multivariate t distribution with the Box-Cox transformation: an alternative to the skew-t distributionKenneth Lo, Raphael Gottardo
Briefings in Bioinformatics|November 30, 2012
Comparability and reproducibility of biomedical dataYunda Huang, Raphael Gottardo
Biometrics|April 11, 2016
Bayesian hierarchical modeling for subject-level response classification in peptide microarray immunoassaysGregory Imholte, Raphael Gottardo
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2016
Promises and Pitfalls of High-Throughput Biological AssaysGreg Finak, Raphael Gottardo
Bioinformatics (Oxford, England)|December 2, 2006
Flexible empirical Bayes models for differential gene expressionKenneth Lo, Raphael Gottardo
Cell Reports Methods|February 27, 2024
An approach for integrating multimodal omics data into sparse and interpretable modelsYixing Dong, Raphael Gottardo
Bioinformatics (Oxford, England)|January 22, 2010
rMAT--an R/Bioconductor package for analyzing ChIP-chip experimentsArnaud Droit, Charles Cheung, Raphael Gottardo
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 15, 2018
CytoML for cross-platform cytometry data sharingGreg Finak, Wenxin Jiang, Raphael Gottardo
Methods in Molecular Biology (Clifton, N.J.)|October 23, 2015
Analyzing Peptide Microarray Data with the R pepStat PackageGregory Imholte, Renan Sauteraud, Raphael Gottardo
Pageof 19