iBBiG: Iterative Binary Biclustering of Genesets

iBBiG is a bi-clustering algorithm which is optimizes for binary data analysis. We apply it to meta-gene set analysis of large numbers of gene expression datasets. The iterative algorithm extracts groups of phenotypes from multiple studies that are associated with similar gene sets. iBBiG does not require prior knowledge of the number or scale of clusters and allows discovery of clusters with diverse sizes

AuthorDaniel Gusenleitner, Aedin Culhane
Date of publicationNone
MaintainerAedin Culhane <aedin@jimmy.harvard.edu>
LicenseArtistic-2.0
Version1.18.0
http://bcb.dfci.harvard.edu/~aedin/publications/

View on Bioconductor

Files in this package

iBBiG/DESCRIPTION
iBBiG/NAMESPACE
iBBiG/R
iBBiG/R/iBBiG.R iBBiG/R/iBBiG_Class.R iBBiG/R/iBBiG_makeSimultedData.R
iBBiG/build
iBBiG/build/vignette.rds
iBBiG/inst
iBBiG/inst/doc
iBBiG/inst/doc/tutorial.R
iBBiG/inst/doc/tutorial.Rnw
iBBiG/inst/doc/tutorial.pdf
iBBiG/man
iBBiG/man/iBBiG-class.Rd iBBiG/man/iBBiG-package.Rd iBBiG/man/iBBiG.Rd iBBiG/man/makeArtificial.Rd
iBBiG/src
iBBiG/src/R_init_iBBiG.c
iBBiG/src/iBBiG.c
iBBiG/src/iBBiG.h
iBBiG/vignettes
iBBiG/vignettes/tutorial.Rnw

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