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Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis

BMC bioinformatics, 2021-04, Vol.22 (1), p.207-207, Article 207

2021

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Improving false discovery rate estimation

Bioinformatics, 2004-07, Vol.20 (11), p.1737-1745

2004

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Genetics of pleiotropic effects of dexamethasone

Pharmacogenetics and genomics, 2017-08, Vol.27 (8), p.294-302

2017

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Reference alignment of SNP microarray signals for copy number analysis of tumors

Bioinformatics, 2009-02, Vol.25 (3), p.315-321

2009

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An R package that automatically collects and archives details for reproducible computing

BMC bioinformatics, 2014-05, Vol.15 (1), p.138-138, Article 138

2014

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Robust estimation of the false discovery rate

Bioinformatics, 2006-08, Vol.22 (16), p.1979-1987

2006

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Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data

BMC bioinformatics, 2013-10, Vol.14 (S17), p.A21-A21, Article A21

2013

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Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values

Bioinformatics, 2003-07, Vol.19 (10), p.1236-1242

2003

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Estimating the occurrence of false positives and falsenegatives in microarray studies by approximating andpartitioning the empirical distribution of p-values

Bioinformatics, 2003-07, Vol.19 (10), p.1236-1242

2003

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Genome-wide interrogation of germline genetic variation associated with treatment response in childhood acute lymphoblastic leukemia

JAMA : the journal of the American Medical Association, 2009-01, Vol.301 (4), p.393

2009

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Erratum: sample size determination for the false discovery rate

Bioinformatics, 2009-03, Vol.25 (5), p.698-699

2009

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A genomic random interval model for statistical analysis of genomic lesion data

Bioinformatics, 2013-09, Vol.29 (17), p.2088-2095

2013

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The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression

Bioinformatics, 2014-05, Vol.30 (10), p.1400-1408

2014

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Sample size determination for the false discovery rate

Bioinformatics, 2005-12, Vol.21 (23), p.4263-4271

2005

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Our strategy to achieve and document reproducible computing

BMC bioinformatics, 2013-10, Vol.14 (S17), p.A19-A19, Article A19

2013

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Dunn Index Bootstrap (DIBS): A procedure to empirically select a cluster analysis method that identifies biologically and clinically relevant molecular disease subgroups

BMC bioinformatics, 2015-10, Vol.16 (S15), p.P12-P12, Article P12

2015

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Subgroup and outlier detection analysis

BMC bioinformatics, 2013-10, Vol.14 (S17), p.A2-A2, Article A2

2013

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Statistical analysis of data from retroviral clonal experiments in the developing retina: Retinal development

Brain research, 2008, Vol.1192, p.178-185

2008

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False discovery rate paradigms for statistical analyses of microarray gene expression data

Bioinformation, 2007-04, Vol.1 (10), p.436-446

2007

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Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis: Statistical Genetics & Statistical Genomics: Where Biology, Epistemology, Statistics, and Computation Collide

Computational statistics & data analysis, 2009, Vol.53 (5), p.1604-1612

2009

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Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis

Computational statistics & data analysis, 2009-03, Vol.53 (5), p.1604-1612

2009

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Statistical development and evaluation of microarray gene expression data filters

Journal of computational biology, 2005-05, Vol.12 (4), p.482-495

2005

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Statistical analysis of data from retroviral clonal experiments in the developing retina

Brain research, 2008-02, Vol.1192, p.178-185

2008

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Assumption Adequacy Averaging as a Concept to Develop More Robust Methods for Differential Gene Expression Analysis

Computational statistics & data analysis, 2009-03, Vol.53 (5), p.1604-1612

2009

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Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis

Improving false discovery rate estimation

Genetics of pleiotropic effects of dexamethasone

Reference alignment of SNP microarray signals for copy number analysis of tumors

An R package that automatically collects and archives details for reproducible computing

Robust estimation of the false discovery rate

Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data

Molecular heterogeneity and CXorf67 alterations in posterior fossa group A (PFA) ependymomas

Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values

Estimating the occurrence of false positives and falsenegatives in microarray studies by approximating andpartitioning the empirical distribution of p-values

Genome-wide interrogation of germline genetic variation associated with treatment response in childhood acute lymphoblastic leukemia

Erratum: sample size determination for the false discovery rate

A genomic random interval model for statistical analysis of genomic lesion data

The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression

Sample size determination for the false discovery rate

Our strategy to achieve and document reproducible computing

Dunn Index Bootstrap (DIBS): A procedure to empirically select a cluster analysis method that identifies biologically and clinically relevant molecular disease subgroups

Subgroup and outlier detection analysis

Statistical analysis of data from retroviral clonal experiments in the developing retina: Retinal development

False discovery rate paradigms for statistical analyses of microarray gene expression data

Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis: Statistical Genetics & Statistical Genomics: Where Biology, Epistemology, Statistics, and Computation Collide

Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis

Statistical development and evaluation of microarray gene expression data filters

Statistical analysis of data from retroviral clonal experiments in the developing retina

Assumption Adequacy Averaging as a Concept to Develop More Robust Methods for Differential Gene Expression Analysis

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