A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies

Bỡi Tabl, Ashraf Abou, Alkhateeb, Abedalrhman, Phạm, Quang Huy, Rueda, Luis, ElMaraghy, Waguih, Ngom, Alioune
Được phát hành 2023

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning

Bỡi Mucaki, Eliseos J, Baranova, Katherina, Phạm, Quang Huy, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Được phát hành 2023

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning

Bỡi Mucaki, Eliseos J, Baranova, Katherina, Phạm, Quang Huy, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Được phát hành 2023

Machine Learning Approaches for Breast Cancer Survivability Prediction

Bỡi Phạm, Quang Huy
Được phát hành 2023