Integrative clustering of multi-type genomic data
iClusterPlus is developed for integrative clustering analysis of multi-type genomic data and is an enhanced version of iCluster proposed and developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise from the experiments where biological samples (e.g. tumor samples) are analyzed by multiple techniques, for instance, array comparative genomic hybridization (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so on. In the iClusterPlus model, binary observations such as somatic mutation are modeled as Binomial processes; categorical observations such as copy number states are realizations of Multinomial random variables; counts are modeled as Poisson random processes; and continuous measures are modeled by Gaussian distributions.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/bdskd830a4a37y86dsnzgdg3x8whqh0f-r-iclusterplus-1.20.0.drv | ||
i686-linux | /gnu/store/sa059vn73vqv299kqk9aci76w0ncm1m0-r-iclusterplus-1.20.0.drv |
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description Validate package descriptions | description should start with an upper-case letter or digit |