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iBBiG: iterative binary bi-clustering of gene sets.

Bioinformatics (Oxford, England) | 2012

Meta-analysis of genomics data seeks to identify genes associated with a biological phenotype across multiple datasets; however, merging data from different platforms by their features (genes) is challenging. Meta-analysis using functionally or biologically characterized gene sets simplifies data integration is biologically intuitive and is seen as having great potential, but is an emerging field with few established statistical methods.

Pubmed ID: 22789589 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: 1U19CA148065

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Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

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