LEADER 01398nam 2200385Ia 450 001 996396270203316 005 20221108074854.0 035 $a(CKB)4330000000328792 035 $a(EEBO)2248532814 035 $a(OCoLC)9920239600971 035 $a(EXLCZ)994330000000328792 100 $a19910808d1593 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aGray 1593$b[electronic resource] $ea prognostication gathered for the yeere of our Lord God M.D.XCIII, fyrst after the leape yeere : rectified for the eleuation and meridian of the towne of Dorchester, seruing most aptly for the west partes, and generally for all England /$fby VValter Gray .. 210 $aImprinted at London $cBy Richard Watkins and Iames Robertes$d[1593] 215 $a[2+] p 300 $aTitle within illustrated border. 300 $aImperfect: lacking all after t.p. verso; slightly faded. 300 $aReproduction of original in the Cambridge University Library. 330 $aeebo-0021 606 $aAlmanacs, English 606 $aEphemerides 606 $aAstrology$vEarly works to 1800 615 0$aAlmanacs, English. 615 0$aEphemerides. 615 0$aAstrology 700 $aGray$b Walter$fd. 1613.$01003274 801 0$bEBL 801 1$bEBL 801 2$bWaOLN 906 $aBOOK 912 $a996396270203316 996 $aGray 1593$92389172 997 $aUNISA LEADER 06945nam 22008415 450 001 9910483058103321 005 20251226203113.0 010 $a3-540-88436-X 024 7 $a10.1007/978-3-540-88436-1 035 $a(CKB)1000000000490862 035 $a(SSID)ssj0000319368 035 $a(PQKBManifestationID)11236922 035 $a(PQKBTitleCode)TC0000319368 035 $a(PQKBWorkID)10337586 035 $a(PQKB)10385874 035 $a(DE-He213)978-3-540-88436-1 035 $a(MiAaPQ)EBC3063643 035 $a(PPN)13018571X 035 $a(EXLCZ)991000000000490862 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPattern Recognition in Bioinformatics $eThird IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings /$fedited by Madhu Chetty, Alioune Ngom, Shandar Ahmad 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (XVI, 472 p.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v5265 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-88434-3 320 $aIncludes bibliographical references and index. 327 $aProtein: Structure, Function, and Interaction -- Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins -- A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS) -- Predicting SUMOylation Sites -- DFS Based Partial Pathways in GA for Protein Structure Prediction -- Evaluation of the Stability of Folding Nucleus upon Mutation -- Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach -- Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types -- Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces -- Learning, Classification, and Clustering -- A Clustering Based Hybrid System for Mass Spectrometry Data Analysis -- A Modified Markov Clustering Approach for Protein Sequence Clustering -- Feature Selection and Classification for Small Gene Sets -- Pseudoknot Identification through Learning TAGRNA -- Support Vector Based T-Score for Gene Ranking -- Prediction of Transcription Factor Families Using DNA Sequence Features -- g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines -- Bio-Molecular Networks and Pathways Analysis -- Domain-Domain Interaction Identification with a Feature Selection Approach -- Dividing Protein Interaction Networks by Growing Orthologous Articulations -- Constraint Minimization for Efficient Modeling of Gene Regulatory Network -- Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models -- TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees -- Generating Synthetic Gene Regulatory Networks -- Microarray and Gene Expression Analysis -- Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm -- Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem -- On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments -- Microarray Design Using the Hilbert?Schmidt Independence Criterion -- Identifying Non-random Patterns from Gene Expression Profiles -- A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets -- Weighted Top Score Pair Method for Gene Selection and Classification -- Data Mining and Knowledge Discovery -- Identifying Conserved Discriminative Motifs -- Exploratory Data Analysis for Investigating GC-MS Biomarkers -- Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins -- Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery -- Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis -- Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer -- Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data -- Applications of High Performance Computing -- Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study -- Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA -- GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences -- Accelerating BLASTP on the Cell Broadband Engine. 330 $aThis book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2008, held in Melbourne, Australia, in October 2008. The 39 revised full papers presented were carefully reviewed and selected from 121 submissions. The papers discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences. The papers are organized in 6 topical parts on protein: structure, function and interaction; learning, classification and clustering; bio-molecular networks and pathways analysis; microarray and gene expression analysis; data mining and knowledge discovery; applications of high performance computing. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v5265 606 $aLife sciences 606 $aMedical sciences 606 $aData mining 606 $aBioinformatics 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aLife Sciences 606 $aHealth Sciences 606 $aData Mining and Knowledge Discovery 606 $aComputational and Systems Biology 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 615 0$aLife sciences. 615 0$aMedical sciences. 615 0$aData mining. 615 0$aBioinformatics. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 14$aLife Sciences. 615 24$aHealth Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputational and Systems Biology. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 676 $a570.285 701 $aChetty$b Madhu$01751461 701 $aNgom$b Alioune$01751462 701 $aAhmad$b Shandar$01314022 712 02$aInternational Association for Pattern Recognition. 712 12$aPRIB 2008 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483058103321 996 $aPattern recognition in bioinformatics$94186443 997 $aUNINA