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: Warnat-Herresthal, Stefanie, Perrakis, Konstantinos, Taschler, Bernd, Becker, Matthias, Baßler, Kevin, Beyer, Marc, Günther, Patrick, Schulte-Schrepping, Jonas, Seep, Lea, Klee, Kathrin, Ulas, Thomas, Haferlach, Torsten, Mukherjee, Sach, Schultze, Joachim L.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Elsevier 2019
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Article
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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