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

Genomic aberrations and gene expression-defined subtypes in the large METABRIC patient cohort have been used to stratify and predict survival. The present study used normalized gene expression signatures of paclitaxel drug response to predict outcome for different survival times in METABRIC patients...

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Những tác giả chính: Mucaki, Eliseos J, Baranova, Katherina, Phạm, Quang Huy, Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K
格式: Journal article
语言:English
出版: Faculty of 1000 Ltd 2023
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在线阅读:https://scholar.dlu.edu.vn/handle/123456789/2632
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