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Year | Number of Results |
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2019 | 1 |
2020 | 1 |
2022 | 1 |
2024 | 1 |
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Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies.
Comput Biol Med. 2022 Jul;146:105569. doi: 10.1016/j.compbiomed.2022.105569. Epub 2022 May 16.
Comput Biol Med. 2022.
PMID: 35751195
An Improved Anticancer Drug-Response Prediction Based on an Ensemble Method Integrating Matrix Completion and Ridge Regression.
Liu C, Wei D, Xiang J, Ren F, Huang L, Lang J, Tian G, Li Y, Yang J.
Liu C, et al.
Mol Ther Nucleic Acids. 2020 Sep 4;21:676-686. doi: 10.1016/j.omtn.2020.07.003. Epub 2020 Jul 10.
Mol Ther Nucleic Acids. 2020.
PMID: 32759058
Free PMC article.
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Comprehensive anticancer drug response prediction based on a simple cell line-drug complex network model.
Wei D, Liu C, Zheng X, Li Y.
Wei D, et al.
BMC Bioinformatics. 2019 Jan 22;20(1):44. doi: 10.1186/s12859-019-2608-9.
BMC Bioinformatics. 2019.
PMID: 30670007
Free PMC article.
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SNSynergy: Similarity network-based machine learning framework for synergy prediction towards new cell lines and new anticancer drug combinations.
Huangfu X, Zhang C, Li H, Li S, Li Y.
Huangfu X, et al.
Comput Biol Chem. 2024 Jun;110:108054. doi: 10.1016/j.compbiolchem.2024.108054. Epub 2024 Mar 19.
Comput Biol Chem. 2024.
PMID: 38522389
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