Integrative multiomics-histopathology analysis for breast cancer classification is a research paper published in npj Breast Cancer (2021). On theSindex it has a DataRank of 0.584. It has been cited 48 times.
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Base Score Contribution
0.584
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 →Harvard Medical School
Grant: Blavatnik Center for Computational Biomedicine Award
U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
Grant: R35GM142879
Harvard University
Grant: Harvard Data Science Fellowship
NHLBI NIH HHS
Grant: R01 HL174679
NHGRI NIH HHS
Grant: T32 HG002295
NICHD NIH HHS
Grant: T32 HD040128
National Institutes of Health
Grant: 5T32HG002295-23
Training in Bioinformatics and Integrative Genomics
National Institutes of Health
Grant: 5R35GM142879-04
Robust, Generalizable, and Fair Machine Learning Models for Biomedicine
FWCI
4.30
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of A systematic analysis of deep learning in genomics and histopathology for precision oncology
Additional file 1 of A systematic analysis of deep learning in genomics and histopathology for precision oncology