Clustering gene expression data using a diffraction‐inspired framework

BACKGROUND: The recent developments in microarray technology has allowed for the simultaneous measurement of gene expression levels. The large amount of captured data challenges conventional statistical tools for analysing and finding inherent correlations between genes and samples. The unsupervised...

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Detalles Bibliográficos
Autores principales: Dinger, Steven C, Van Wyk, Michael A, Carmona, Sergio, Rubin, David M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549897/
https://www.ncbi.nlm.nih.gov/pubmed/23164195
http://dx.doi.org/10.1186/1475-925X-11-85

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549897/
https://www.ncbi.nlm.nih.gov/pubmed/23164195
http://dx.doi.org/10.1186/1475-925X-11-85

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