Biostatistics: iClusterPlus

Pattern discovery and cancer gene identification in integrated cancer genomic data.

Authors: Qianxing Mo (qmo@bcm.edu), Sijian Wang (swang@biostat.wisc.edu), and Ronglai Shen (shenr@mskcc.org)

 

Download the iCluster+ software from Bioconductor

http://www.bioconductor.org/packages/devel/bioc/html/iClusterPlus.html

Reference:  Shen et al. (2012)  Integrative Subtype Discovery in Glioblastoma Using iCluster, PLOS ONE 7(4):e35236

 

 

Software Contributors

To cite your use of iCluster, please reference:

Mo et al. (2013) Pattern discovery and cancer gene identification in integrated cancer genomic data. PNAS, 110 (11) 4245-4250.

Shen et al. (2009) Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis. Bioinformatics, 25(22):2906-12.