Author:
Sahoo Plavani,Naidu Dasari Prashanth,Samartha Mullapudi Venkata Sai,Palei Shantilata,Jena Biswajit,Saxena Sanjay
Publisher
Springer Nature Switzerland
Reference25 articles.
1. Costello, J.C., et al.: A community effort to assess and improve drug sensitivity prediction algorithms. Nat. Biotechnol. 32(12), 1202–1212 (2014)
2. Tjoa, E., et al.: A survey on explainable artificial intelligence (xai): toward medical xai. IEEE Trans. Neural Netw. Learn. Syst. 32(11), 4793–4813 (2020)
3. Vellido, A.: The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Comput. Appl. 32(24), 18069–18083 (2020)
4. Xi, J., et al.: Cancer omic data based explainable AI drug recommendation inference: a traceability perspective for explainability. Biomed. Signal Process. Control 79, 104144 (2023)
5. Barretina, J., et al.: Addendum: the cancer cell line encyclopedia enables predictive modeling of anticancer drug sensitivity. Nature 565(7738), E5–E6 (2019)