LEADER 01520nam 2200493 450 001 9910465705603321 005 20200520144314.0 010 $a1-4863-0394-3 035 $a(CKB)3710000000739965 035 $a(MiAaPQ)EBC4572891 035 $a(Au-PeEL)EBL4572891 035 $a(CaPaEBR)ebr11232414 035 $a(CaONFJC)MIL938406 035 $a(OCoLC)920793235 035 $a(EXLCZ)993710000000739965 100 $a20160726h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aCephalopods of Australia and Sub-Antarctic territories /$fAmanda Reid ; edited by Joy Window ; cover design by James Kelly 210 1$aClayton South, Australia :$cCSIRO PUBLISHING,$d2016. 210 4$dİ2016 215 $a1 online resource (473 pages) $cillustrations, maps 311 $a1-4863-0393-5 311 $a1-4863-0395-1 320 $aIncludes bibliographical references and index. 606 $aCephalopoda$zAustralia$vIdentification 606 $aCephalopoda$zAntarctica$vIdentification 608 $aElectronic books. 615 0$aCephalopoda 615 0$aCephalopoda 676 $a594.5 700 $aReid$b Amanda$0917911 702 $aWindow$b Joy 702 $aKelly$b James 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465705603321 996 $aCephalopods of Australia and Sub-Antarctic territories$92058192 997 $aUNINA LEADER 05390nam 22006374a 450 001 9910143742503321 005 20170809164732.0 010 $a1-280-28753-5 010 $a9786610287536 010 $a0-470-01572-1 010 $a0-470-02176-4 035 $a(CKB)1000000000357233 035 $a(EBL)242936 035 $a(OCoLC)475962221 035 $a(SSID)ssj0000180598 035 $a(PQKBManifestationID)11938928 035 $a(PQKBTitleCode)TC0000180598 035 $a(PQKBWorkID)10168113 035 $a(PQKB)11551266 035 $a(MiAaPQ)EBC242936 035 $a(EXLCZ)991000000000357233 100 $a20050325d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntelligent bioinformatics$b[electronic resource] $ethe application of artificial intelligence techniques to bioinformatics problems /$fEdward Keedwell and Ajit Narayanan 210 $aHoboken, NJ $cWiley$dc2005 215 $a1 online resource (294 p.) 300 $aDescription based upon print version of record. 311 $a0-470-02175-6 320 $aIncludes bibliographical references and index. 327 $aIntelligent Bioinformatics; Contents; Preface; Acknowledgement; PART 1 INTRODUCTION; 1 Introduction to the Basics of Molecular Biology; 1.1 Basic cell architecture; 1.2 The structure, content and scale of deoxyribonucleic acid (DNA); 1.3 History of the human genome; 1.4 Genes and proteins; 1.5 Current knowledge and the 'central dogma'; 1.6 Why proteins are important; 1.7 Gene and cell regulation; 1.8 When cell regulation goes wrong; 1.9 So, what is bioinformatics?; 1.10 Summary of chapter; 1.11 Further reading; 2 Introduction to Problems and Challenges in Bioinformatics; 2.1 Introduction 327 $a2.2 Genome2.3 Transcriptome; 2.4 Proteome; 2.5 Interference technology, viruses and the immune system; 2.6 Summary of chapter; 2.7 Further reading; 3 Introduction to Artificial Intelligence and Computer Science; 3.1 Introduction to search; 3.2 Search algorithms; 3.3 Heuristic search methods; 3.4 Optimal search strategies; 3.5 Problems with search techniques; 3.6 Complexity of search; 3.7 Use of graphs in bioinformatics; 3.8 Grammars, languages and automata; 3.9 Classes of problems; 3.10 Summary of chapter; 3.11 Further reading; PART 2 CURRENT TECHNIQUES; 4 Probabilistic Approaches 327 $a4.1 Introduction to probability4.2 Bayes' Theorem; 4.3 Bayesian networks; 4.4 Markov networks; 4.5 Summary of chapter; 4.6 References; 5 Nearest Neighbour and Clustering Approaches; 5.1 Introduction; 5.2 Nearest neighbour method; 5.3 Nearest neighbour approach for secondary structure protein folding prediction; 5.4 Clustering; 5.5 Advanced clustering techniques; 5.6 Application guidelines; 5.7 Summary of chapter; 5.8 References; 6 Identification (Decision) Trees; 6.1 Method; 6.2 Gain criterion; 6.3 Over fitting and pruning; 6.4 Application guidelines; 6.5 Bioinformatics applications 327 $a6.6 Background6.7 Summary of chapter; 6.8 References; 7 Neural Networks; 7.1 Method; 7.2 Application guidelines; 7.3 Bioinformatics applications; 7.4 Background; 7.5 Summary of chapter; 7.6 References; 8 Genetic Algorithms; 8.1 Single-objective genetic algorithms - method; 8.2 Single-objective genetic algorithms - example; 8.3 Multi-objective genetic algorithms - method; 8.4 Application guidelines; 8.5 Genetic algorithms - bioinformatics applications; 8.6 Summary of chapter; 8.7 References and further reading; PART 3 FUTURE TECHNIQUES; 9 Genetic Programming; 9.1 Method 327 $a9.2 Application guidelines9.3 Bioinformatics applications; 9.4 Background; 9.5 Summary of chapter; 9.6 References; 10 Cellular Automata; 10.1 Method; 10.2 Application guidelines; 10.3 Bioinformatics applications; 10.4 Background; 10.5 Summary of chapter; 10.6 References and further reading; 11 Hybrid Methods; 11.1 Method; 11.2 Neural-genetic algorithm for analysing gene expression data; 11.3 Genetic algorithm and k nearest neighbour hybrid for biochemistry solvation; 11.4 Genetic programming neural networks for determining gene - gene interactions in epidemiology; 11.5 Application guidelines 327 $a11.6 Conclusions 330 $aBioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up 'intelligent bioinformatics'. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipl 606 $aArtificial intelligence$xBiological applications 606 $aBioinformatics 608 $aElectronic books. 615 0$aArtificial intelligence$xBiological applications. 615 0$aBioinformatics. 676 $a570.28563 676 $a570/.285 700 $aKeedwell$b Edward$0857178 701 $aNarayanan$b Ajit$f1952-$052289 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143742503321 996 $aIntelligent bioinformatics$91913999 997 $aUNINA