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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...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7338351/ https://ncbi.nlm.nih.gov/pubmed/32632202 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-66907-9 |
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