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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Detalles Bibliográficos
Autores principales: Mucaki, Eliseos J., Baranova, Katherina, Pham, Huy Q., Rezaeian, Iman, Angelov, Dimo, Ngom, Alioune, Rueda, Luis, Rogan, Peter K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461908/
https://www.ncbi.nlm.nih.gov/pubmed/28620450
http://dx.doi.org/10.12688/f1000research.9417.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461908/
https://www.ncbi.nlm.nih.gov/pubmed/28620450
http://dx.doi.org/10.12688/f1000research.9417.3

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