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000755155 020__ $$a9789811003912$$q(electronic book)
000755155 020__ $$a9811003912$$q(electronic book)
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000755155 0247_ $$a10.1007/978-981-10-0391-2$$2doi
000755155 035__ $$aSP(OCoLC)ocn949036958
000755155 035__ $$aSP(OCoLC)949036958
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000755155 050_4 $$aQH324.25
000755155 08204 $$a570.285/63$$223
000755155 24500 $$aApplication of computational intelligence to biology$$h[electronic resource] /$$cRavi Bhramaramba, Akula Chandra Sekhar, editors.
000755155 264_1 $$aSingapore :$$bSpringer,$$c2016.
000755155 300__ $$a1 online resource (ix, 102 pages) :$$billustrations.
000755155 336__ $$atext$$btxt$$2rdacontent
000755155 337__ $$acomputer$$bc$$2rdamedia
000755155 338__ $$aonline resource$$bcr$$2rdacarrier
000755155 4901_ $$aSpringerBriefs in applied sciences and technology, Forensic and medical bioinformatics,$$x2191-530X
000755155 504__ $$aIncludes bibliographical references.
000755155 5050_ $$aEnhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps -- Augmenting the performance of Multi-patient Parameter Monitoring system -- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data -- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion -- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy -- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors -- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs) -- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions -- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry -- A Rough Set Theory Approach.
000755155 506__ $$aAccess limited to authorized users.
000755155 520__ $$aThis book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.
000755155 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 9, 2016).
000755155 650_0 $$aArtificial intelligence$$xBiological applications.
000755155 7001_ $$aBhramaramba, Ravi,$$eeditor.
000755155 7001_ $$aSekhar, Akula Chandra,$$eeditor.
000755155 77608 $$iPrint version:$$tApplication of computational intelligence to biology.$$dSingapore : Springer, c2016$$z9789811003905$$w2016937354
000755155 830_0 $$aSpringerBriefs in applied sciences and technology.$$pForensic and medical bioinformatics.
000755155 852__ $$bebk
000755155 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-0391-2$$zOnline Access$$91397441.1
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000755155 980__ $$aEBOOK
000755155 980__ $$aBIB
000755155 982__ $$aEbook
000755155 983__ $$aOnline
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