DCPR: a deep learning framework for circadian phase reconstruction
Our study demonstrates that DCPR is a highly versatile tool for systematically identifying transcriptional rhythms from untimed expression data. This tool will facilitate therapeutics discovery for circadian-related behavioral and pathological disorders.
Authors
- Xiaochen Cen (ORCID: https://orcid.org/0009-0003-7446-8634)
- Xiaobo Zhou (ORCID: https://orcid.org/0000-0002-2305-2255)
- Zhijin Li (ORCID: https://orcid.org/0000-0001-8308-290X)
- Xiaoying Han
- Zhiwei Ji
Institutions
- Nanjing Agricultural University (CN)
- University of Science and Technology of China (CN)
- Anhui Provincial Hospital (CN)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1186/s12859-025-06363-2
- Citations
- 1
- Primary Topic
- Circadian rhythm and melatonin
- Type
- article
- Field-Weighted Citation Impact
- 0.91