Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning
In conclusion, our finding highlights the potential role of promoter-bound TFBSs in influencing the regulation of downstream splicing patterns and provides insights for discovering alternative splicing regulations.
Authors
- Huai‐Kuang Tsai (ORCID: https://orcid.org/0000-0002-4200-8137)
- Jia‐Hsin Huang (ORCID: https://orcid.org/0000-0002-5910-5419)
- Tzu‐Chieh Lin (ORCID: https://orcid.org/0000-0002-8821-2192)
- Cheng-Kai Shiau (ORCID: https://orcid.org/0000-0003-0883-8660)
- Cheng-Hung Tsai (ORCID: https://orcid.org/0000-0003-3419-2146)
Institutions
- Research Center for Information Technology Innovation, Academia Sinica (TW)
- Institute of Information Science, Academia Sinica (TW)
- Taiwan Public Television Service Foundation (TW)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1186/s12864-024-10667-7
- Citations
- 4
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Academia Sinica
- National Science and Technology Council