Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study

The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optimally predict radiation-associated contralateral breast cancer (RCBC) and to provide new biological insights into the carcinogenic process. Fifty-two women with contralateral breast cancer and 153 wome...

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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Lee, Sangkyu, Liang, Xiaolin, Woods, Meghan, Reiner, Anne S., Concannon, Patrick, Bernstein, Leslie, Lynch, Charles F., Boice, John D., Deasy, Joseph O., Bernstein, Jonine L., Oh, Jung Hun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2020
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7046218/
https://ncbi.nlm.nih.gov/pubmed/32106268
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226157
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