An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data.
| Publicado en: | BioMed Research International Vol. 2014; pp. 154594 - 154595 |
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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=103821610&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103821610 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: 103821610 2012571952 NLM24800208 PMC3988973 103821610 ppf: 154594 ppct: 1 formats: fmt: @attributes: type: P tig: atl: An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data. aug: au: Altaf-Ul-Amin, Md Katsuragi, Tetsuo Sato, Tetsuo Ono, Naoaki Kanaya, Shigehiko affil: Computational Systems Biology Lab, Nara Institute of Science and Technology, Ikoma, Nara 630-0192, Japan. sug: subj: Artificial Intelligence Genes Physiology Models, Biological Molecular Probe Techniques Methods Yeasts Metabolism Proteins Metabolism Transcription Factors Metabolism Computer Simulation Information Science Methods Signal Transduction Physiology pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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