Article
Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data.
BMC bioinformatics - 25 May 2021
Park Sejin, Soh Jihee, Lee Hyunju
Abstract excerpt
BACKGROUND: Predicting the drug response of a patient is important for precision oncology. In recent studies, multi-omics data have been used to improve the prediction accuracy of drug response. Although multi-omics data are good resources for drug response prediction, the large dimension of data tends to hinder performance improvement. In this study, we aimed to develop a new method, which can effectively reduce...
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