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Base-resolution prediction of transcription factor binding signals by a deep learning framework
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Qinhu Zhang,
Roles Formal analysis, Methodology, Software, Writing – original draft
Affiliations Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China, Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China
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Ying He,
Roles Software
Affiliation Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China
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Siguo Wang,
Roles Data curation
Affiliation Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China
⨯ - Zhanheng Chen,
- Zhenhao Guo,
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Zhen Cui,
Roles Data curation
Affiliation Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China
⨯ - Qi Liu ,
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De-Shuang Huang
Roles Conceptualization
* E-mail: qiliu@tongji.edu.cn (QL); dshuang@tongji.edu.cn (DSH)
Affiliations Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China, Big Data and Intelligent Computing Research Center, Guangxi Academy of Science, Nanning, China
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https://orcid.org/0000-0002-4232-7736
Base-resolution prediction of transcription factor binding signals by a deep learning framework
- Qinhu Zhang,
- Ying He,
- Siguo Wang,
- Zhanheng Chen,
- Zhenhao Guo,
- Zhen Cui,
- Qi Liu,
- De-Shuang Huang
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- Published: March 9, 2022
- https://doi.org/10.1371/journal.pcbi.1009941
- See the preprint