Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data
Author:
Affiliation:
1. Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
2. Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, Hawaii 96822, United States
Funder
National Institute of Environmental Health Sciences
National Institute of Child Health and Human Development
U.S. National Library of Medicine
National Institute of General Medical Sciences
Publisher
American Chemical Society (ACS)
Subject
General Chemistry,Biochemistry
Link
http://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.7b00595
Reference62 articles.
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3. Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
4. Intrinsic Breast Tumor Subtypes, Race, and Long-Term Survival in the Carolina Breast Cancer Study
5. Impact of Breast Cancer Subtypes and Treatment on Survival: An Analysis Spanning Two Decades
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