Anti-Drug Response and Drug Side Effect Prediction Methods: A Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3391-2_11
Reference25 articles.
1. Dey S, Luo H, Fokoue A, Hu J, Zhang P (2018) Predicting adverse drug reactions through interpretable deep learning framework. BMC Bioinform 19(21):1–13
2. Güvenç Paltun B, Mamitsuka H, Kaski S (2021) Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches. Brief Bioinform 22(1):346–359
3. Guan NN, Zhao Y, Wang CC, Li JQ, Chen X, Piao X (2019) Anticancer drug response prediction in cell lines using weighted graph regularized matrix factorization. Mol Therapy-Nucleic Acids 17:164–174
4. Sakellaropoulos T, Vougas K, Narang S, Koinis F, Kotsinas A, Polyzos A, Gorgoulis VG (2019) A deep learning framework for predicting response to therapy in cancer. Cell Rep 29(11):3367–3373
5. Choi J, Park S, Ahn J (2020) RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance. Sci Rep 10(1):1–11
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