imDC: an ensemble learning method for imbalanced classification with miRNA data

Genetics and Molecular Research : GMR
C Y WangQ Zou

Abstract

Imbalances typically exist in bioinformatics and are also common in other areas. A drawback of traditional machine learning methods is the relatively little attention given to small sample classification. Thus, we developed imDC, which uses an ensemble learning concept in combination with weights and sample misclassification information to effectively classify imbalanced data. Our method showed better results when compared to other algorithms with UCI machine learning datasets and microRNA data.

Citations

Jun 14, 2016·BioMed Research International·Junjie ChenDong Huang
Jul 13, 2016·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Niloufar ZarinabadAndrew C Peet
Jun 3, 2017·PloS One·Sabri BoughorbelMohammed El-Anbari
Jul 18, 2018·International Journal of Molecular Sciences·Mengting NiuKe Han
Sep 22, 2018·Briefings in Bioinformatics·Quan ZouXiangxiang Zeng

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