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Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation Journal article
Zhou,Jing Bo, Tang,Dongyang, He,Lin, Lin,Shiqi, Lei,Josh Haipeng, Sun,Heng, Xu,Xiaoling, Deng,Chu Xia. Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation[J]. Pharmacological Research, 2023, 194, 106830.
Authors:  Zhou,Jing Bo;  Tang,Dongyang;  He,Lin;  Lin,Shiqi;  Lei,Josh Haipeng; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:9.1/9.0 | Submit date：2023/08/03
Bortezomib (Pubchem Cid: 387447)  Cepharanthine (Pubchem Cid: 10206)  Docetaxel (Taxotere) (Pubchem Cid: 11970251)  Drug Combination Therapy  Flunarizine Dihydrochloride (Pubchem Cid: 5282407)  Lapatinib Ditosylate (Pubchem Cid: 9941095)  Machine Learning  Pazopanib Hydrochloride (Pubchem Cid: 11525740)  Potential Combination Biomarkers  Tamoxifen Citrate (Pubchem Cid: 2733525)  Three-dimensional Tumor Slice Culture  Vatalanib (Pubchem Cid: 151194)  Vincristine (Pubchem Cid: 5978)  Xl-184 (Cabozantinib) (Pubchem Cid: 25102847)