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...

Descripción completa

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

Internet

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

Ejemplares similares