Large-scale integration of microarray data reveals genes and pathways common to multiple cancer types

Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types

(2010) Noor B Dawany et al.   BMC BIOINFORMATICS

A-MADMAN: Annotation-based microarray data meta-analysis tool

(2009) Andrea Bisognin et al.   BMC BIOINFORMATICS

RankAggreg, an R package for weighted rank aggregation

(2009) Vasyl Pihur et al.   BMC BIOINFORMATICS

Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family

(2009) Sandeep Sanga et al.   BMC Medical Genomics

Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data

(2009) Ivan P Gorlov et al.   BMC Medical Genomics

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

(2009) Da Wei Huang et al.   Nature Protocols

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

(2008) Adaikalavan Ramasamy et al.   PLOS MEDICINE