Available software for meta-analyses of genome-wide expression studies

Abstract excerpt

Advances in transcriptomic methods have led to a large number of published genome-wide expression studies (GWES), in humans and in model organisms. For several years, GWES involved the use of microarray platforms to compare genome-expression data for two or more groups of samples of interest. Meta-analysis of GWES is a powerful approach for the identification of differentially expressed genes in biological topics...

Topics

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• Gene Expression Profiling
• Gene Expression Regulation
• Genetic Association Studies
• Genetic Predisposition to Disease
• Models, Genetic
• Models, Statistical
• Oligonucleotide Array Sequence Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

319a8fc5-b97b-53d9-a821-6e6f1e0b84cf

DOI

10.7287/peerj.preprints.27708v1