FABIA 2.8.0

Sepp Hochreiter — Fri, 18 Oct 2013 10:14:57 -0000

Biclustering by "Factor Analysis for Bicluster Acquisition" (FABIA). FABIA is a model-based technique for biclustering, that is clustering rows and columns simultaneously. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. FABIA ranks biclusters according to their information content and separates spurious biclusters from true biclusters.

FABIA is an R package while the code is written in C.

Applications:

microarray: genes that are diffentially expressed in certain samples form a bicluster with these samples, e.g. genes of a pathway that is activated in certain samples.
genetics: researchers want to identify haplotypes shared by different individuals due to >identity by descent<. Especially rare variants in next generation sequencing that form an identity by descent block are identified by fabia (spfabia).

mloss.org FABIA

FABIA 2.8.0