Sparse representation for tumor classification based on feature extraction using latent low-rank representation.
| Publicado en: | BioMed Research International Vol. 2014; pp. 420856 - 420857 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103814817&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103814817 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2014 vid: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103814817 2012525867 NLM24678505 PMC3942202 103814817 ppf: 420856 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Sparse representation for tumor classification based on feature extraction using latent low-rank representation. aug: au: Gan, Bin Zheng, Chun-Hou Zhang, Jun Wang, Hong-Qiang affil: College of Information and Communication Technology, Qufu Normal University, Rizhao 276800, China. sug: subj: Algorithms Neoplasms Classification DNA Classification Databases Oncogenes Neoplasms pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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