<p>A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms</p>

Santiago Bueno-Fortes; Alberto Berral-Gonzalez; Natalia Alonso-Moreda; Jose M Sanchez-Santos; Manuel Martin-Merino; Javier De Las Rivas

doi:10.7490/f1000research.1119190.1

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Bueno-Fortes S, Berral-Gonzalez A, Alonso-Moreda N et al. A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms [version 1; not peer reviewed]. F1000Research 2022, 11:1306 (poster) (https://doi.org/10.7490/f1000research.1119190.1)

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A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms

Santiago Bueno-Fortes, Alberto Berral-Gonzalez¹, Natalia Alonso-Moreda, Jose M Sanchez-Santos, Manuel Martin-Merino, Javier De Las Rivas¹

Published 15 Nov 2022 (https://doi.org/10.7490/f1000research.1119190.1)

Author Affiliations

¹ Cancer Research Center (CiC-IMBCC), CSIC, University of Salamanca (USAL) and IBSAL, Salamanca, Spain

Copyright © 2022 Bueno-Fortes S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 15 Nov 2022

A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms
[version 1; not peer reviewed]

Santiago Bueno-Fortes, Alberto Berral-Gonzalez¹, Natalia Alonso-Moreda, Jose M Sanchez-Santos, Manuel Martin-Merino, Javier De Las Rivas¹

Author Affiliations

¹ Cancer Research Center (CiC-IMBCC), CSIC, University of Salamanca (USAL) and IBSAL, Salamanca, Spain

Presented at

European Conference on Computational Biology (ECCB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

survival, risk, machine learning, machine, ML, breast, breast cancer, brca, gene signature, signature, markers, survival markers, survival signature, risk analysis

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