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Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
Acute myeloid leukemia (AML) is a severe, mostly fatal hematopoietic malignancy. We were interested in whether transcriptomic-based machine learning could predict AML status without requiring expert input. Using 12,029 samples from 105 different studies, we present a large-scale study of machine lea...
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| I publikationen: | iScience |
|---|---|
| Huvudupphovsmän: | , , , , , , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6992905/ https://ncbi.nlm.nih.gov/pubmed/31918046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2019.100780 |
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