Prediction and validation of protein–protein interactors from genome-wide DNA-binding data using a knowledge-based machine-learning approach

The ability to accurately predict the DNA targets and interacting cofactors of transcriptional regulators from genome-wide data can significantly advance our understanding of gene regulatory networks. NKX2-5 is a homeodomain transcription factor that sits high in the cardiac gene regulatory network...

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Detalles Bibliográficos
Autores principales: Waardenberg, Ashley J., Homan, Bernou, Mohamed, Stephanie, Harvey, Richard P., Bouveret, Romaric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043580/
https://www.ncbi.nlm.nih.gov/pubmed/27683156
http://dx.doi.org/10.1098/rsob.160183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043580/
https://www.ncbi.nlm.nih.gov/pubmed/27683156
http://dx.doi.org/10.1098/rsob.160183

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