multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

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 g...

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Detalles Bibliográficos
Autores principales: Lawlor, Nathan, Fabbri, Alec, Guan, Peiyong, George, Joshy, Karuturi, R. Krishna Murthy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Software or Database Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907340/
https://www.ncbi.nlm.nih.gov/pubmed/27330269
http://dx.doi.org/10.4137/CIN.S38000

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907340/
https://www.ncbi.nlm.nih.gov/pubmed/27330269
http://dx.doi.org/10.4137/CIN.S38000

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