ICGE: an R package for detecting relevant clusters and atypical units in gene expression

BACKGROUND: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expr...

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Detalles Bibliográficos
Autores principales: Irigoien, Itziar, Sierra, Basilio, Arenas, Concepcion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364157/
https://www.ncbi.nlm.nih.gov/pubmed/22330431
http://dx.doi.org/10.1186/1471-2105-13-30

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364157/
https://www.ncbi.nlm.nih.gov/pubmed/22330431
http://dx.doi.org/10.1186/1471-2105-13-30

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