LEADER 06380nam 22008775 450 001 996466207903316 005 20200701020049.0 010 $a3-642-34123-3 024 7 $a10.1007/978-3-642-34123-6 035 $a(CKB)3400000000102797 035 $a(SSID)ssj0000809153 035 $a(PQKBManifestationID)11430058 035 $a(PQKBTitleCode)TC0000809153 035 $a(PQKBWorkID)10800139 035 $a(PQKB)10066625 035 $a(DE-He213)978-3-642-34123-6 035 $a(MiAaPQ)EBC6285039 035 $a(MiAaPQ)EBC5595780 035 $a(Au-PeEL)EBL5595780 035 $a(OCoLC)820955248 035 $a(PPN)168326213 035 $a(EXLCZ)993400000000102797 100 $a20121116d2012 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPattern Recognition in Bioinformatics$b[electronic resource] $e7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012, Proceedings /$fedited by Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (XII, 278 p. 74 illus.) 225 1 $aLecture Notes in Bioinformatics ;$v7632 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-34122-5 327 $aRobust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks -- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression -- A Genetic Algorithm for Scale-Based Translocon Simulation -- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm -- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns -- A Unified Adaptive Co-identification Framework for High-D Expression Data -- Protein Clustering on a Grassmann Manifold -- Improving the Portability and Performance of jViz.RNA ? A Dynamic RNA Visualization Software -- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images -- An Open Framework for Extensible Multi-stage Bioinformatics Software -- An Algorithm to Assemble Gene-Protein Reaction Associations for Genome-Scale Metabolic Model Reconstruction -- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data ? A NMR-Based Metabolomics Platform for the Assessment of Brazilian -- Principal Component Analysis for Bacterial Proteomic Analysis -- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction -- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction -- Improvement of the Protein?Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis -- Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters -- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine -- Predicting V(D)J Recombination Using Conditional Random Fields -- A Simple Genetic Algorithm for Biomarker Mining -- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment -- Aligning Discovered Patterns from Protein Family Sequences -- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats -- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis. 410 0$aLecture Notes in Bioinformatics ;$v7632 606 $aBioinformatics 606 $aHealth informatics 606 $aPattern recognition 606 $aData mining 606 $aAlgorithms 606 $aArtificial intelligence 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aBioinformatics. 615 0$aHealth informatics. 615 0$aPattern recognition. 615 0$aData mining. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 14$aComputational Biology/Bioinformatics. 615 24$aHealth Informatics. 615 24$aPattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aArtificial Intelligence. 676 $a570.285 702 $aShibuya$b Tetsuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKashima$b Hisashi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSese$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAhmad$b Shandar$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 02$aInternational Association for Pattern Recognition. 712 12$aPRIB (Meeting) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466207903316 996 $aPattern Recognition in Bioinformatics$9772456 997 $aUNISA