MultiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles.
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ABSTRACT:
SUBMITTER: Lawlor N
PROVIDER: S-EPMC4907340 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
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multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles.
Lawlor Nathan N Fabbri Alec A Guan Peiyong P George Joshy J Karuturi R Krishna Murthy RK
Cancer informatics 20160612
Clustering is carried out to identify patterns in transcriptomics profiles to determine clinically relevant subgroups of patients. Feature (gene) selection is a critical and an integral part of the process. Currently, there are many feature selection and clustering methods to identify the relevant genes and perform clustering of samples. However, choosing an appropriate methodology is difficult. In addition, extensive feature selection methods have not been supported by the available packages. H ...[more]
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