Cite
Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles
MLA
Adeolu Z. Ogunleye, et al. “Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their MicroRNA Profiles.” Advanced Science, vol. 9, no. 24, Aug. 2022. EBSCOhost, https://doi.org/10.1002/advs.202201501.
APA
Adeolu Z. Ogunleye, Chayanit Piyawajanusorn, Anthony Gonçalves, Ghita Ghislat, & Pedro J. Ballester. (2022). Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles. Advanced Science, 9(24). https://doi.org/10.1002/advs.202201501
Chicago
Adeolu Z. Ogunleye, Chayanit Piyawajanusorn, Anthony Gonçalves, Ghita Ghislat, and Pedro J. Ballester. 2022. “Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their MicroRNA Profiles.” Advanced Science 9 (24). doi:10.1002/advs.202201501.