DGEclust: differential expression analysis of clustered count data

We present a statistical methodology, DGEclust, for differential expression analysis of digital expression data. Our method treats differential expression as a form of clustering, thus unifying these two concepts. Furthermore, it simultaneously addresses the problem of how many clusters are supporte...

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Detalles Bibliográficos
Autores principales: Vavoulis, Dimitrios V, Francescatto, Margherita, Heutink, Peter, Gough, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365804/
https://www.ncbi.nlm.nih.gov/pubmed/25853652
http://dx.doi.org/10.1186/s13059-015-0604-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365804/
https://www.ncbi.nlm.nih.gov/pubmed/25853652
http://dx.doi.org/10.1186/s13059-015-0604-6

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