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ECMarker: Interpretable machine learning model identifies... | ResearchHub
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ECMarker: Interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages
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Authors
Ting Jin
•
Nam Nguyen
2 more
•
Shuang Liu
Published
June 12, 2020
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Preprint Server
Topics
Machine Learning
Bioinformatics
Artificial Intelligence
Pathology
Biology
Machine Learning
Computer Science
Medicine
Bioinformatics
Show all topics
DOI
10.1101/825414
License
cc-no
