Article
Clinical parameter-based prediction of DNA methylation classification generates a prediction model of prognosis in patients with juvenile myelomonocytic leukemia.
Scientific reports - 30 Aug 2022
Imaizumi Takahiro, Meyer Julia, Wakamatsu Manabu, Kitazawa Hironobu, Murakami Norihiro, Okuno Yusuke, Yoshida Taro, Sajiki Daichi, Hama Asahito, Kojima Seiji, Takahashi Yoshiyuki, Loh Mignon, Stieglitz Elliot, Muramatsu Hideki
Abstract excerpt
Juvenile myelomonocytic leukemia (JMML) is a rare heterogeneous hematological malignancy of early childhood characterized by causative RAS pathway mutations. Classifying patients with JMML using global DNA methylation profiles is useful for risk stratification. We implemented machine learning algorithms (decision tree, support vector machine, and naïve Bayes) to produce a DNA methylation-based classification...
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