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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Bibliographic Details
Main Authors: Ashley J. Waardenberg, Bernou Homan, Stephanie Mohamed, Richard P. Harvey, Romaric Bouveret
Format: Article
Language:English
Published: The Royal Society 2016-01-01
Series:Open Biology
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsob.160183