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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| Główni autorzy: | , , , , , , , |
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| Format: | Journal article |
| Język: | English |
| Wydane: |
Faculty of 1000 Ltd
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | https://scholar.dlu.edu.vn/handle/123456789/2632 |
| Etykiety: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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