PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines is a research paper published in Computational and Structural Biotechnology Journal (2021). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.292
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 →National Institutes of Health
Grant: R01GM123037
National Institutes of Health
Grant: U01AR069395
National Institutes of Health
Grant: U01CA166886
National Institutes of Health
Grant: 7U01CA166886-02
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Grant: 1U01AR069395-01A1
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Grant: 1R01GM123037-01
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NIAMS NIH HHS
Grant: R01 AR072613
FWCI
0.22
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals