Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study-Reference-Cited by-同舟云学术

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

Published:2020-02-27 Issue:2 Volume:15 Page:e0226157
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Lee Sangkyu,Liang Xiaolin,Woods Meghan,Reiner Anne S.^ORCID,Concannon Patrick,Bernstein Leslie,Lynch Charles F.,Boice John D.^ORCID,Deasy Joseph O.,Bernstein Jonine L.,Oh Jung Hun^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference68 articles.

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2. Contralateral breast cancer: factors associated with stage and size at presentation;WC Mertens;The breast journal,2004

3. Cancer in the contralateral breast after radiotherapy for breast cancer;JD Boice;N Engl J Med,1992

4. Radiation effects on breast cancer risk: a pooled analysis of eight cohorts;DL Preston;Radiat Res,2002

5. Dose to the contralateral breast from radiotherapy and risk of second primary breast cancer in the WECARE study;M Stovall;Int J Radiat Oncol Biol Phys,2008

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