Biologically relevant transfer learning improves transcription factor binding prediction

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 separat...

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Detalles Bibliográficos
Autores principales: Novakovsky, Gherman, Saraswat, Manu, Fornes, Oriol, Mostafavi, Sara, Wasserman, Wyeth W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474956/
https://www.ncbi.nlm.nih.gov/pubmed/34579793
http://dx.doi.org/10.1186/s13059-021-02499-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474956/
https://www.ncbi.nlm.nih.gov/pubmed/34579793
http://dx.doi.org/10.1186/s13059-021-02499-5

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