KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications is a research paper published in F1000Research (2020). On theSindex it has a DataRank of 0.312. It has been cited 7 times.
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Base Score Contribution
0.312
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: 1R01GM097618-01
Machine Learning for Identifying Adverse Drug Events
National Institutes of Health
Grant: 5UH3TR000506-04
Human iPS/ES Cell-Based Models for Predictive Neural Toxicity and Teratogenicity
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Keywords
Additional file 1 of Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models
Additional file 1 of Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models
Additional file 2 of Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models
Additional file 2 of Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models