Inferring orthologous gene regulatory networks using interspecies data fusion

Motivation: The ability to jointly learn gene regulatory networks (GRNs) in, or leverage GRNs between related species would allow the vast amount of legacy data obtained in model organisms to inform the GRNs of more complex, or economically or medically relevant counterparts. Examples include transf...

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Detalles Bibliográficos
Autores principales: Penfold, Christopher A., Millar, Jonathan B. A., Wild, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765882/
https://www.ncbi.nlm.nih.gov/pubmed/26072515
http://dx.doi.org/10.1093/bioinformatics/btv267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765882/
https://www.ncbi.nlm.nih.gov/pubmed/26072515
http://dx.doi.org/10.1093/bioinformatics/btv267

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