Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder

Meta-analysis for pathway enrichment analysis when combining multiple genomic studies

(2010) Kui Shen et al.   BIOINFORMATICS

A cross-laboratory comparison of expression profiling data from normal human postmortem brain

(2010) M. Mistry et al.   NEUROSCIENCE

A Molecular Signature of Depression in the Amygdala

(2009) Etienne Sibille et al.   AMERICAN JOURNAL OF PSYCHIATRY

Biomarker detection in the integration of multiple multi-class genomic studies

(2009) Shuya Lu et al.   BIOINFORMATICS

Moderated effect size and P-value combinations for microarray meta-analyses

(2009) G. Marot et al.   BIOINFORMATICS

Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes

(2009) Min Zhang et al.   BIOINFORMATICS

A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments

(2008) Fangxin Hong et al.   BIOINFORMATICS

Major Depressive Disorder

(2008) R.H. Belmaker et al.   NEW ENGLAND JOURNAL OF MEDICINE

Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets

(2008) Adaikalavan Ramasamy et al.   PLOS MEDICINE

Gene expression profiling of major depression and suicide in the prefrontal cortex of postmortem brains

(2007) Mamoru Tochigi et al.   NEUROSCIENCE RESEARCH