Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts
Abstract Prognostic biomarkers serve a variety of purposes in cancer treatment and research, such as prediction of cancer progression, and treatment eligibility. Despite growing interest in multi-omic data integration for defining prognostic biomarkers, validated methods have been slow to emerge. Gi...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2018
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| Accès en ligne: | https://doaj.org/article/4595189a82f94bd59ee0359b5de48c2d |
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