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https://hdl.handle.net/2183/49163 Identification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohort [Poster]
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L. Martínez-Rodríguez, J. Liñares-Blanco, P. V. del Río, and C. Fernández-Lozano, "Identification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohort" [Poster], Annual Congress of the European Association for Cancer Research (EACR 2026): Innovative Cancer Science, 8-11 June 2026, Budapest, Hungary.
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[Abstract]: This study identifies a robust 49-gene prognostic signature for triple-negative breast cancer (TNBC) using the Fast Correlation-Based Filter (FCBF) algorithm on the SCAN-B cohort, demonstrating high predictive accuracy when combined with clinical covariates like age.
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Póster presentado en: Annual Congress of the European Association for Cancer Research (EACR 2026): Innovative Cancer Science, 8-11 June 2026, Budapest, Hungary.
Abstract publicado dispoñible en: https://hdl.handle.net/2183/49157
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© 2026