Article

Comparing machine learning models for predicting mutation status in Acute Myeloid Leukemia patients using RNA-seq data

2024-11-14

Abstract excerpt

Acute Myeloid Leukemia (AML) is a highly heterogeneous disease. The current AML classifications are based mainly on molecular markers, including cytogenetics features, fusion genes, and the presence or absence of mutations. In this study, we investigated mutation status in AML patients through RNA-seq data in link with differential gene expression. We applied seven machine learning algorithms to identify the prese...

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Literature Corpus work: a3a62f6c-1321-5839-a54d-88f53c481cfd
DOI: 10.1101/2024.11.13.623391

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