Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. Here, the authors present a machine-learning framework to identify robust drug biomarkers by taking advantage of network-based analyses using pharmacogenomic data...
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Auteurs principaux: | , , , , , , |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
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Accès en ligne: | https://doaj.org/article/bc2d4c908ac14d54ad3b9ed62cdef10f |
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