Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks

Motivation: The generation of time series transcriptomic datasets collected under multiple experimental conditions has proven to be a powerful approach for disentangling complex biological processes, allowing for the reverse engineering of gene regulatory networks (GRNs). Most methods for reverse en...

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Detalles Bibliográficos
Autores principales: Penfold, Christopher A., Buchanan-Wollaston, Vicky, Denby, Katherine J., Wild, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Ismb 2012 Proceedings Papers Committee July 15 to July 19, 2012, Long Beach, Ca, Usa
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371854/
https://www.ncbi.nlm.nih.gov/pubmed/22689766
http://dx.doi.org/10.1093/bioinformatics/bts222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371854/
https://www.ncbi.nlm.nih.gov/pubmed/22689766
http://dx.doi.org/10.1093/bioinformatics/bts222

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