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| Machine learning based anti-cancer drug response prediction and search for predictor genes using cancer cell line gene expression |
| Kexin Qiu, JoongHo Lee, HanByeol Kim, Seokhyun Yoon, Keunsoo Kang |
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Genomics Inform. 2021;19(1):e10 Published online March 26, 2021 DOI: https://doi.org/10.5808/gi.20076 |
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Machine learning based anti-cancer drug response prediction and search for predictor genes using cancer cell line gene expression Genomics & Informatics. 2021;19(1):e10  Personalized drug-response prediction model for lung cancer patients using machine learning . 2020; Personalized drug-response prediction model for lung cancer patients using machine learning . 2020; Bioinformatics Prediction and Machine Learning on Gene Expression Data Identifies Novel Gene Candidates in Gastric Cancer Genes. 2022;13(12):2233 kESVR: An Ensemble Model for Drug Response Prediction in Precision Medicine Using Cancer Cell Lines Gene Expression Genes. 2021;12(6):844 Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models Genes. 2020;11(9):1070 Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach IEEE Access. 2019;7:4232-4238 Comparison and optimization of deep learning-based radiosensitivity prediction models using gene expression profiling in National Cancer Institute-60 cancer cell line Nuclear Engineering and Technology. 2022;54(8):3027-3033 Drug response prediction for lung cancer patients using biophysical simulation and machine learning 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2022; Prediction of Recurrence in Non Small Cell Lung Cancer Patients with Gene Expression Data Using Machine Learning Techniques 2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE). 2023; |
