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

Tekijä Tabl, Ashraf Abou, Alkhateeb, Abedalrhman, Phạm, Quang Huy, Rueda, Luis, ElMaraghy, Waguih, Ngom, Alioune
Julkaistu 2023

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

Tekijä Mucaki, Eliseos J, Baranova, Katherina, Phạm, Quang Huy, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Julkaistu 2023

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

Tekijä Mucaki, Eliseos J, Baranova, Katherina, Phạm, Quang Huy, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
Julkaistu 2023

Machine Learning Approaches for Breast Cancer Survivability Prediction

Tekijä Phạm, Quang Huy
Julkaistu 2023