Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data

@inproceedings{Farid2016EnsembleOT,
  title={Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data},
  author={Dewan Md. Farid and A. Now{\'e} and Bernard Manderick},
  year={2016}
}
Machine learning for data mining applications in the field of bioinformatics is to extract new knowledge to provide an improved and effective diagnosis process for patients. In this paper, we introduce an adaptive ensemble learning for classifying high-dimensional multi-class imbalanced genomic data. The aspect is to design and develop an optimal ensemble method for information discovery on genomic data, which improve the prediction accuracy of DNA variant classification. The proposed method is… CONTINUE READING