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Oxford University Press (OUP), Bioinformatics, 19(28), p. 2484-2492

DOI: 10.1093/bioinformatics/bts438

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iBBiG: iterative binary bi-clustering of gene sets

Journal article published in 2012 by Daniel Gusenleitner, Eleanor A. Howe, Stefan Bentink, John Quackenbush, Aedín C. Culhane ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: 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.