Systems Biology Approaches to Mining High Throughput Biological Data.
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 3 |
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| Autores principales: | , , , |
| Formato: | editorial Journal Article |
| Publicado: |
Wiley-Blackwell
8/4/2015
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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=109031042&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109031042 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 8/4/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109031042 109031042 109031042 10.1155/2015/504362 109031042 ppf: 1 ppct: 2 formats: fmt: @attributes: type: P tig: atl: Systems Biology Approaches to Mining High Throughput Biological Data. aug: au: Wu, Fang-Xiang Li, Min Ruan, Jishou Luo, Feng affil: School of Mathematical Sciences, Nankai University, Tianjin 300071, China sug: subj: Technology, Pharmaceutical Bioinformatics Data Mining Serial Publications Gene Expression pubtype: Academic Journal doctype: editorial Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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