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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...
Autores principales: | Dinger, Steven C, Van Wyk, Michael A, Carmona, Sergio, Rubin, David M |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
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 |
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