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...

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Detalles Bibliográficos
Autores principales: Gan, Bin, Zheng, Chun-Hou, Zhang, Jun, Wang, Hong-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942202/
https://www.ncbi.nlm.nih.gov/pubmed/24678505
http://dx.doi.org/10.1155/2014/420856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942202/
https://www.ncbi.nlm.nih.gov/pubmed/24678505
http://dx.doi.org/10.1155/2014/420856

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