Feature genes predicting the FLT3/ITD mutation in acute myeloid leukemia

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Feature genes predicting the FLT3/ITD mutation in acute myeloid leukemia

In the present study, gene expression profiles of acute myeloid leukemia (AML) samples were analyzed to identify feature genes with the capacity to predict the mutation status of FLT3/ITD. Two machine learning models, namely the support vector machine (SVM) and random forest (RF) methods, were used for classification. Four datasets were downloaded from the European Bioinformatics Institute, two...

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ژورنال

عنوان ژورنال: Molecular Medicine Reports

سال: 2016

ISSN: 1791-2997,1791-3004

DOI: 10.3892/mmr.2016.5260