Ontology highlight
ABSTRACT:
SUBMITTER: Li W
PROVIDER: S-EPMC5385541 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Li Weibiao W Liao Bo B Zhu Wen W Chen Min M Peng Li L Wei Xiaohui X Gu Changlong C Li Keqin K
Scientific reports 20170410
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) method to classify tumors. First, we extract a set of metagenes from the training samples. These metagenes can capture the structures inherent ...[more]