(2005). AE: Empirical Bayes and resampling based multiple testing procedure controlling tail probability of the proportion of false positives. Stat Appl Genet Mol Biol
(1998). Cluster analysis and display of genome-wide expression patterns.
(2003). Design and Analysis of DNA Microarray Investigations
Differential correlation detects complex associations between gene expression and clinical outcomes in lung adenocarcinomas.
(2002). Downing JR: Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell
(2004). H: A statistical method for identifying differential gene-gene co-expression patterns. Bioinformatics
(2005). Hotelling's T 2 multivariate profiling for detecting differential expression in microarrays. Bioinformatics
(2004). Houwelingen HC: A global test for groups of genes: testing association with a clinical outcome. Bioinformatics
(2005). Meng F: Evolving gene/ transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Res
(2003). Multiple hypothesis testing in microarray experiments. Statistical Science
(2005). PJ: Discovering statistically significant pathways in expression profiling studies. Proc Natl Acad Sci USA
(2004). RL: Classifying gene expression profiles from pairwise mRNA comparisons. Stat Appl Genet Mol Biol
WL: Improved gene selection for classification of microarrays.
(2007). Y: A multivariate extension of the gene set enrichment analysis.
(2005). Yakovlev A: A permutation test motivated by microarray data analysis. Computational Statistics and Data Analysis
(2007). Yakovlev A: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing. The Annals of Applied Statistics
(2005). Yakovlev A: Correlation between gene expression levels and limitations of the empirical bayes methodology for finding differentially expressed genes. Statistical Applications in Genetics and Molecular Biology
(2008). Yakovlev A: Diverse correlation structures in gene expression data and their utility in improving statistical inference. Annals of Applied Statistics
(2004). Yakovlev A: Multivariate search for differentially expressed gene combinations.
(2006). Yakovlev A: Some comments on instability of false discovery rate estimation.
(2008). Yakovlev A: Testing differential expression in non-overlapping gene pairs: A new perspective for the empirical Bayes method.
(2005). Yakovlev A: The effects of normalization on the correlation structure of microarray data.
(2002). Yakovlev A: Variable selection and pattern recognition with gene expression data generated by the microarray technology. Mathematical Biosciences
(2003). Yakovlev AY: Multivariate exploratory tools for microarray data analysis. Biostatistics
(2006). Yakovlev AY: Utility of correlation measures in analysis of gene expression. NeuroRx