Ontology highlight
ABSTRACT:
SUBMITTER: Warnat-Herresthal S
PROVIDER: S-EPMC6992905 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Warnat-Herresthal Stefanie S Perrakis Konstantinos K Taschler Bernd B Becker Matthias M Baßler Kevin K Beyer Marc M Günther Patrick P Schulte-Schrepping Jonas J Seep Lea L Klee Kathrin K Ulas Thomas T Haferlach Torsten T Mukherjee Sach S Schultze Joachim L JL
iScience 20191218 1
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 learning-based prediction of AML in which we address key questions relating to the combination of machine learning and transcriptomics and their practical use. We find data-driven, high-dimensional appro ...[more]