Biologically relevant transfer learning improves transcription factor binding prediction

Biologically relevant transfer learning improves transcription factor binding prediction

Abstract Background Deep learning has proven to be a powerful technique for transcription factor (TF) binding prediction but requires large training datasets. Transfer learning can reduce the amount of data required for deep learning, while improving overall model performance, compared to training a...

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Bibliographic Details
Main Authors: Gherman Novakovsky, Manu Saraswat, Oriol Fornes, Sara Mostafavi, Wyeth W. Wasserman
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Genome Biology
Subjects:
Transfer learning
Deep learning
Transcription factor binding prediction
Model interpretation
Online Access:https://doi.org/10.1186/s13059-021-02499-5

Internet

https://doi.org/10.1186/s13059-021-02499-5

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