LEADER 05253nam 2200649 a 450 001 9910831180403321 005 20230721025913.0 010 $a1-280-90018-0 010 $a9786610900183 010 $a0-470-12464-4 010 $a0-470-12463-6 035 $a(CKB)1000000000354677 035 $a(EBL)297259 035 $a(SSID)ssj0000187901 035 $a(PQKBManifestationID)11180619 035 $a(PQKBTitleCode)TC0000187901 035 $a(PQKBWorkID)10137970 035 $a(PQKB)11695664 035 $a(MiAaPQ)EBC297259 035 $a(OCoLC)181344797 035 $a(EXLCZ)991000000000354677 100 $a20060929d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aKnowledge discovery in bioinformatics$b[electronic resource] $etechniques, methods, and applications /$fedited by Xiaohua Hu, Yi Pan 210 $aHoboken, N.J. $cWiley-Interscience$dc2007 215 $a1 online resource (405 p.) 225 1 $aWiley Series in Bioinformatics 300 $aDescription based upon print version of record. 311 $a0-471-77796-X 327 $aKNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links 327 $a2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi-Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons 327 $a3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification 327 $a4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods 327 $a5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information 327 $a6.4 Selection of Extreme Patient Samples 330 $aThe purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management. 410 0$aWiley Series in Bioinformatics 606 $aBioinformatics 606 $aComputational biology 615 0$aBioinformatics. 615 0$aComputational biology. 676 $a570.285 676 $a570/.285 676 $a572.80285 701 $aHu$b Xiaohua$f1960-$01675128 701 $aPan$b Yi$f1960-$01646467 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831180403321 996 $aKnowledge discovery in bioinformatics$94040391 997 $aUNINA LEADER 04812nam 2201357z- 450 001 9910367742303321 005 20210212 010 $a3-03921-875-1 035 $a(CKB)4100000010106294 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60382 035 $a(oapen)doab60382 035 $a(EXLCZ)994100000010106294 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSymmetry in Engineering Sciences 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 online resource (220 p.) 311 08$a3-03921-874-3 330 $aThis book presents interesting samples of theoretical and practical advances of symmetry in multidisciplinary engineering applications. It covers several applications, such as accessibility and traffic congestion management, path planning for mobile robots, analysis of shipment service networks, fault diagnosis methods in electrical circuits and electrical machines, geometrical issues in architecture, geometric modeling and virtual reconstruction, design of noise detectors, filters, and segmentation methods for image processing, and cyclic symmetric structures in turbomachinery applications, to name but a few. The contributions included in this book depict the state of the art in this field and lay the foundation for the possibilities that the study of symmetry has in multidisciplinary applications in the field of engineering. 606 $aHistory of engineering and technology$2bicssc 610 $a3D slicer 610 $aA* algorithm 610 $aaccessibility 610 $aadaptive threshold 610 $aaged 610 $aAgusti?n de Betancourt 610 $aanomaly detection 610 $aasymmetry 610 $aBP neural network 610 $abroad learning model 610 $acathedral 610 $aclassification 610 $aclustering 610 $aCoalbrookdale (Shropshire) 610 $acomplex networks 610 $acomputer engineering 610 $acomputing applications 610 $aconditional mutual information 610 $aconvexity/concavity 610 $aedge preserving 610 $aelectrical circuits 610 $aelectronic devices 610 $aenergy dissipation 610 $aenvironmental modeling 610 $aevaluation model 610 $aexpress shipment 610 $aextension 610 $afault diagnosis 610 $afeature interaction 610 $afeature selection 610 $aFisher linear discriminant analysis 610 $aflying buttresses 610 $afriction damping 610 $ageometric modeling 610 $ageometry 610 $agraphic modelling 610 $ahigh order urban hospitals (HOUHs) 610 $aHilbert transform 610 $ainclined plane 610 $aindustrial archaeology 610 $aindustrial heritage 610 $alifting wavelet 610 $alinearization technique 610 $alocal data features 610 $alocal inflection 610 $alocal monotonicity 610 $alocal preserving projection 610 $amechanical structures 610 $amobile robot 610 $anoise detector 610 $aoptimization 610 $aoptimization criteria 610 $aoptimum 610 $apath planning 610 $apath search 610 $apeaks distribution 610 $arailcar flow distribution 610 $arailway network 610 $arailway transportation 610 $arampant arch 610 $arandom forest 610 $arandom value impulse noise 610 $aring damper 610 $arobots 610 $arolling bearings 610 $asegmentation 610 $asemi-supervised random forest 610 $asensitivity analysis 610 $aservice network design 610 $asupport vector machine 610 $asymmetry 610 $asynchronization 610 $athin-walled gear 610 $atime-space network 610 $atopology 610 $atraffic congestion 610 $atraffic control 610 $atraffic forecasting 610 $atrip impedance based on public transportation 610 $atumor 610 $aurban traffic planning 610 $avariational mode decomposition 610 $avibration 610 $avirtual reconstruction 610 $aweighted mean filter 615 7$aHistory of engineering and technology 700 $aMontoya$b Francisco G$4auth$01279132 702 $aBaños Navarro$b Raúl$4auth 906 $aBOOK 912 $a9910367742303321 996 $aSymmetry in Engineering Sciences$93040669 997 $aUNINA