metahdep: meta-analysis of hierarchically dependent gene expression studies | Zendy

John R. Stevens | Zendy; Gabriel Nicholas | Zendy

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metahdep: meta-analysis of hierarchically dependent gene expression studies

Author(s) -

John R. Stevens,

Gabriel Nicholas

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp468

Subject(s) - bioconductor , covariate , r package , meta analysis , software package , expression (computer science) , computational biology , software , computer science , gene expression , microarray analysis techniques , sampling (signal processing) , gene expression profiling , dna microarray , data mining , gene , biology , genetics , medicine , programming language , machine learning , filter (signal processing) , computer vision

The metahdep package contains tools for combining the results of multiple gene expression studies. Unlike previous microarray meta-analysis packages, metahdep accounts for both sampling and hierarchical dependence among studies, as well as fundamental covariate differences between studies.

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