LEADER 04251nam 22007575 450 001 9910254239703321 005 20200629200409.0 010 $a981-10-0391-2 024 7 $a10.1007/978-981-10-0391-2 035 $a(CKB)3710000000658351 035 $a(EBL)4524977 035 $a(DE-He213)978-981-10-0391-2 035 $a(MiAaPQ)EBC4524977 035 $a(PPN)194077799 035 $a(EXLCZ)993710000000658351 100 $a20160506d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of Computational Intelligence to Biology /$fedited by Ravi Bhramaramba, Akula Chandra Sekhar 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (107 p.) 225 1 $aSpringerBriefs in Forensic and Medical Bioinformatics,$x2196-8845 300 $aDescription based upon print version of record. 311 $a981-10-0390-4 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. 330 $aThis book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers. 410 0$aSpringerBriefs in Forensic and Medical Bioinformatics,$x2196-8845 606 $aComputational intelligence 606 $aBioinformatics 606 $aDiabetes 606 $aProteins  606 $aBiomedical engineering 606 $aHealth informatics 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aDiabetes$3https://scigraph.springernature.com/ontologies/product-market-codes/H33045 606 $aProtein Structure$3https://scigraph.springernature.com/ontologies/product-market-codes/L14050 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aComputational intelligence. 615 0$aBioinformatics. 615 0$aDiabetes. 615 0$aProteins . 615 0$aBiomedical engineering. 615 0$aHealth informatics. 615 14$aComputational Intelligence. 615 24$aComputational Biology/Bioinformatics. 615 24$aDiabetes. 615 24$aProtein Structure. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aHealth Informatics. 676 $a570.28563 702 $aBhramaramba$b Ravi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSekhar$b Akula Chandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254239703321 996 $aApplication of Computational Intelligence to Biology$91540961 997 $aUNINA