Ciray, F. And DOĞAN, T. 2022. Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features. Expert Opinion on Drug Discovery , vol.17, no.12 , 1425-1441.

Ciray, F., & DOĞAN, T., (2022). Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features. Expert Opinion on Drug Discovery , vol.17, no.12, 1425-1441.

Ciray, Fulya, And TUNCA DOĞAN. "Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features," Expert Opinion on Drug Discovery , vol.17, no.12, 1425-1441, 2022

Ciray, Fulya And DOĞAN, TUNCA. "Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features." Expert Opinion on Drug Discovery , vol.17, no.12, pp.1425-1441, 2022

Ciray, F. And DOĞAN, T. (2022) . "Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features." Expert Opinion on Drug Discovery , vol.17, no.12, pp.1425-1441.

@article{article, author={Fulya Ciray And author={TUNCA DOĞAN}, title={Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features}, journal={Expert Opinion on Drug Discovery}, year=2022, pages={1425-1441} }