MCLRP: enhanced prediction of anticancer drug response through low-rank matrix completion and transcriptomic profiling
These findings establish MCLRP as a dual-purpose predictive-analytical tool that not only enhances drug response forecasting but also uncovers mutation-specific pharmacological vulnerabilities through systems-level pattern recognition.
Authors
- Jialiang Yang (ORCID: https://orcid.org/0000-0003-4689-8672)
- Geng Tian (ORCID: https://orcid.org/0000-0001-5752-4436)
- Binhan Li
- Dashuang Ding (ORCID: https://orcid.org/0000-0001-7448-4106)
- Xueying Zeng (ORCID: https://orcid.org/0000-0001-6346-365X)
- Kun Wang (ORCID: https://orcid.org/0000-0002-2522-2182)
- Miao Xu (ORCID: https://orcid.org/0000-0002-6469-4414)
- Qihui Zheng
Institutions
- Broad Institute (US)
- Cipher Gene (China) (CN)
- Ocean University of China (CN)
Publication Details
- Journal
- BMC Biology
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1186/s12915-025-02457-8
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00