Modeling binding specificities of transcription factor pairs with random forests

HIGHLIGHTS

• who: Anni A. Antikainen from the Department of Computer, Aalto University, Espoo, Finland have published the paper: Modeling binding specificities of transcription factor pairs with random forests, in the Journal: (JOURNAL)
• what: The authors propose two random forest (RF) methods for joint TF-TF binding site prediction: ComBind and JointRF. The authors propose a novel random forest based pairwise binding specificity model, ComBind, trained with high-throughput CAP-SELEX sequence libraries from_[11]. The authors show that random forest can be combined with known pairwise PWMs to increase configuration specific prediction accuracy with a second . . .
  

   

  

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