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Naijun Sha

Showing results (1-10 of 7) with videos related to

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Mathematical Biosciences|March 31, 2004
Modeling antitumor activity by using a non-linear mixed-effects modelHua Liang, Naijun Sha
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|October 4, 2013
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational StrategiesTerrance Savitsky, Marina Vannucci, Naijun Sha
Bioinformatics (Oxford, England)|July 18, 2006
Bayesian variable selection for the analysis of microarray data with censored outcomesNaijun Sha, Mahlet G Tadesse, Marina Vannucci
Cancer Informatics|May 21, 2009
Identifying biomarkers from mass spectrometry data with ordinal outcomeDeukwoo Kwon, Mahlet G Tadesse, Naijun Sha, et al.
Bioinformatics (Oxford, England)|December 25, 2002
Gene selection: a Bayesian variable selection approachKyeong Eun Lee, Naijun Sha, Edward R Dougherty, et al.
Comparative and Functional Genomics|July 17, 2008
Gene selection in arthritis classification with large-scale microarray expression profilesNaijun Sha, Marina Vannucci, Philip J Brown, et al.
Biometrics|September 2, 2004
Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stageNaijun Sha, Marina Vannucci, Mahlet G Tadesse, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Mathematical Biosciences|March 31, 2004
Modeling antitumor activity by using a non-linear mixed-effects modelHua Liang, Naijun Sha
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|October 4, 2013
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational StrategiesTerrance Savitsky, Marina Vannucci, Naijun Sha
Bioinformatics (Oxford, England)|July 18, 2006
Bayesian variable selection for the analysis of microarray data with censored outcomesNaijun Sha, Mahlet G Tadesse, Marina Vannucci
Cancer Informatics|May 21, 2009
Identifying biomarkers from mass spectrometry data with ordinal outcomeDeukwoo Kwon, Mahlet G Tadesse, Naijun Sha, et al.
Bioinformatics (Oxford, England)|December 25, 2002
Gene selection: a Bayesian variable selection approachKyeong Eun Lee, Naijun Sha, Edward R Dougherty, et al.
Comparative and Functional Genomics|July 17, 2008
Gene selection in arthritis classification with large-scale microarray expression profilesNaijun Sha, Marina Vannucci, Philip J Brown, et al.
Biometrics|September 2, 2004
Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stageNaijun Sha, Marina Vannucci, Mahlet G Tadesse, et al.
Pageof 1