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Predicting breast cancer risk using interacting genetic and demographic factors and machine learning

Breast cancer (BC) is a multifactorial disease and the most common cancer in women worldwide. We describe a machine learning approach to identify a combination of interacting genetic variants (SNPs) and demographic risk factors for BC, especially factors related to both familial history (Group 1) an...

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Detalles Bibliográficos
Autores principales:	Behravan, Hamid, Hartikainen, Jaana M., Tengström, Maria, Kosma, Veli–Matti, Mannermaa, Arto
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338351/ https://www.ncbi.nlm.nih.gov/pubmed/32632202 http://dx.doi.org/10.1038/s41598-020-66907-9

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