Causal discovery in high-dimensional, multicollinear datasets is a research paper published in Frontiers in Epidemiology (2022). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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Base Score Contribution
0.385
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.
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Grant: F31LM013966
National Heart, Lung, and Blood Institute
Grant: R01HL127349
National Heart, Lung, and Blood Institute
Grant: R01HL157879
National Heart, Lung, and Blood Institute
Grant: R01HL159805
National Heart, Lung, and Blood Institute
Grant: T32CA082084
NIAAA NIH HHS
Grant: R01 AA028436
NIDDK NIH HHS
Grant: R01 DK130294
National Institutes of Health
Grant: 5R01AA028436-02
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National Institutes of Health
Grant: 5F31LM013966-03
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National Institutes of Health
Grant: 5R01HL159805-07
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National Institutes of Health
Grant: 7R01HL157879-02
COPD SUBTYPES AND EARLY PREDICTION USING INTEGRATIVE PROBABILISTIC GRAPHICAL MODELS R01HL157879
National Institutes of Health
Grant: 5R01HL127349-07
Genomic Analysis of Tissue and Cellular Heterogeneity in IPF
National Institutes of Health
Grant: 5R01DK130294-04
Novel Biomarkers for Post-Liver Transplant NASH Fibrosis
National Institutes of Health
Grant: 2T32CA082084-21A1
Cancer Immunology Training Program
Fields of Study
Keywords
Sustainable Development Goals