Discovering transcriptional modules by Bayesian data integration

Motivation: We present a method for directly inferring transcriptional modules (TMs) by integrating gene expression and transcription factor binding (ChIP-chip) data. Our model extends a hierarchical Dirichlet process mixture model to allow data fusion on a gene-by-gene basis. This encodes the intui...

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Detalles Bibliográficos
Autores principales: Savage, Richard S., Ghahramani, Zoubin, Griffin, Jim E., de la Cruz, Bernard J., Wild, David L.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881394/
https://www.ncbi.nlm.nih.gov/pubmed/20529901
http://dx.doi.org/10.1093/bioinformatics/btq210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881394/
https://www.ncbi.nlm.nih.gov/pubmed/20529901
http://dx.doi.org/10.1093/bioinformatics/btq210

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