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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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| Publicado no: | Genome Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4365804/ https://ncbi.nlm.nih.gov/pubmed/25853652 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-015-0604-6 |
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