Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Author:

Alakwaa Fadhl M.1ORCID,Chaudhary Kumardeep1,Garmire Lana X.12

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

Reference62 articles.

1. Breast Cancer: Prevention and Control;World Health Organization, 2017.http://www.who.int/cancer/detection/breastcancer/en/index1.html(accessed October 10, 2017).

2. About Breast Cancer;American Cancer Society, 2017.https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html(accessed September 21, 2017).

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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