Maxdenominator Reweighted Sparse Representation for Tumor Classification

Abstract

The classification of tumors is crucial for the proper treatment of cancer. Sparse representation-based classifier (SRC) exhibits good classification performance and has been successfully used to classify tumors using gene expression profile data. In this study, we propose a three-step maxdenominator reweighted sparse representation classification (MRSRC… (More)
DOI: 10.1038/srep46030

Topics

14 Figures and Tables

Cite this paper

@inproceedings{Li2017MaxdenominatorRS, title={Maxdenominator Reweighted Sparse Representation for Tumor Classification}, author={Weibiao Li and Bo Liao and Wen Zhu and Shigang Chen and Li Peng and Xiaohui Wei and Changlong Gu and Keqin Li}, booktitle={Scientific reports}, year={2017} }