Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0.529. It has been cited 33 times.
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Base Score Contribution
0.529
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NCI NIH HHS
Grant: P30 CA008748
NCI NIH HHS
Grant: R01 CA097397
NCI NIH HHS
Grant: R01 CA114236
NCI NIH HHS
Grant: U01 CA083178
National Institutes of Health
Grant: 5R01CA114236-02
Breast Cancer, Radiation and the ATM-CHEK2 Pathway
National Institutes of Health
Grant: 5R01CA097397-03
Interaction of Radiation, BRCA1/2, and Breast Cancer
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 5U01CA083178-02
BREAST CANCER, RADIATION EXPOSURE, AND THE ATM GENE
Fields of Study
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Sustainable Development Goals