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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...
Autores principales: | Waardenberg, Ashley J., Homan, Bernou, Mohamed, Stephanie, Harvey, Richard P., Bouveret, Romaric |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
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Materias: | |
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 |
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