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A hierarchical poisson log-normal model for network inference from RNA sequencing data.
Gene network inference from transcriptomic data is an important methodological challenge and a key aspect of systems biology. Although several methods have been proposed to infer networks from microarray data, there is a need for inference methods able to model RNA-seq data, which are count-based an...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2013-01-01
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| Colecção: | PLoS ONE |
| Acesso em linha: | http://europepmc.org/articles/PMC3798343?pdf=render |
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