DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks

BACKGROUND: Due to the complexity of the biological systems, the prediction of the potential DNA binding sites for transcription factors remains a difficult problem in computational biology. Genomic DNA sequences and experimental results from parallel sequencing provide available information about t...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Hou, Jie, Shi, Xiaowen, Yang, Hua, Birchler, James A., Cheng, Jianlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852092/
https://www.ncbi.nlm.nih.gov/pubmed/33522898
http://dx.doi.org/10.1186/s12859-020-03952-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852092/
https://www.ncbi.nlm.nih.gov/pubmed/33522898
http://dx.doi.org/10.1186/s12859-020-03952-1

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