Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation
Accurate tumor classification is crucial to the proper treatment of cancer. To now, sparse representation (SR) has shown its great performance for tumor classification. This paper conceives a new SR-based method for tumor classification by using gene expression data. In the proposed method, we first...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2014-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2014/420856 |