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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
Research article (Bioinformatics, 2020) · cited 35× · AI/ML
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages
Summary
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages is a scholarly article[1].
Key Facts
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. Retrieved May 24, 2026, from https://4ort.xyz/entity/ecmarker-interpretable-machine-learning-model-identifies-gene-expression-biomarkers-predicting-clinical-outcomes-and-rev
MLA“ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ecmarker-interpretable-machine-learning-model-identifies-gene-expression-biomarkers-predicting-clinical-outcomes-and-rev.
BibTeX@misc{4ortxyz_ecmarker-interpretable-machine-learning-model-identifies-gene-expression-biomarkers-predicting-clinical-outcomes-and-rev_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages}}, year = {2026}, url = {https://4ort.xyz/entity/ecmarker-interpretable-machine-learning-model-identifies-gene-expression-biomarkers-predicting-clinical-outcomes-and-rev}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages — https://4ort.xyz/entity/ecmarker-interpretable-machine-learning-model-identifies-gene-expression-biomarkers-predicting-clinical-outcomes-and-rev (retrieved 2026-05-24)
