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

Por Mucaki, Eliseos J., Baranova, Katherina, Pham, Huy Q., Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K.
Publicado no F1000Res (2017)

Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning

Por Dorman, Stephanie N., Baranova, Katherina, Knoll, Joan H.M., Urquhart, Brad L., Mariani, Gabriella, Carcangiu, Maria Luisa, Rogan, Peter K.
Publicado no Mol Oncol (2015)