06847nam 22008295 450 99646625200331620200704232929.01-280-38936-297866135672843-642-16001-810.1007/978-3-642-16001-1(CKB)2670000000045132(SSID)ssj0000446686(PQKBManifestationID)11269699(PQKBTitleCode)TC0000446686(PQKBWorkID)10497902(PQKB)10340420(DE-He213)978-3-642-16001-1(MiAaPQ)EBC3065837(PPN)149024614(EXLCZ)99267000000004513220100914d2010 u| 0engurnn|008mamaatxtccrPattern Recognition in Bioinformatics[electronic resource] 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings /edited by Tjeerd M.H. Dijkstra, Evgeni Tsivtsivadze, Elena Marchiori, Tom Heskes1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (XII, 442 p. 153 illus.) Lecture Notes in Bioinformatics ;6282International conference proceedings.3-642-16000-X Includes bibliographical references and author index.Classification of Biological Sequences -- Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger -- Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family -- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search -- Structured Output Prediction of Anti-cancer Drug Activity -- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context -- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence -- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations -- Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data -- Novel Machine Learning Methods for MHC Class I Binding Prediction -- Unsupervised Learning Methods for Biological Sequences -- SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads -- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings -- An Algorithm to Find All Identical Motifs in Multiple Biological Sequences -- Discovery of Non-induced Patterns from Sequences -- Exploring Homology Using the Concept of Three-State Entropy Vector -- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem -- Polynomial Supertree Methods Revisited -- Enhancing Graph Database Indexing by Suffix Tree Structure -- Learning Methods for Gene Expression and Mass Spectrometry Data -- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data -- Iterated Local Search for Biclustering of Microarray Data -- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray -- Measuring the Quality of Shifting and Scaling Patterns in Biclusters -- Frequent Episode Mining to Support Pattern Analysis in Developmental Biology -- Time Series Gene Expression Data Classification via L 1-norm Temporal SVM -- Bioimaging -- Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding -- Quantification of Cytoskeletal Protein Localization from High-Content Images -- Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization -- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis -- Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging -- Molecular Structure Prediction -- A Matrix Algorithm for RNA Secondary Structure Prediction -- Exploiting Long-Range Dependencies in Protein ?-Sheet Secondary Structure Prediction -- Alpha Helix Prediction Based on Evolutionary Computation -- An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps -- Protein Protein Interaction and Network Inference -- Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction -- Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information -- SFFS-MR: A Floating Search Strategy for GRNs Inference -- Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms -- MC4: A Tempering Algorithm for Large-Sample Network Inference -- Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.Lecture Notes in Bioinformatics ;6282Life sciencesMedicineData miningBioinformaticsHealth informaticsPattern recognitionLife Sciences, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/L00004Medicine/Public Health, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/H00007Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XLife sciences.Medicine.Data mining.Bioinformatics.Health informatics.Pattern recognition.Life Sciences, general.Medicine/Public Health, general.Data Mining and Knowledge Discovery.Computational Biology/Bioinformatics.Health Informatics.Pattern Recognition.570.285Dijkstra Tjeerd M.Hedthttp://id.loc.gov/vocabulary/relators/edtTsivtsivadze Evgeniedthttp://id.loc.gov/vocabulary/relators/edtMarchiori Elenaedthttp://id.loc.gov/vocabulary/relators/edtHeskes Tomedthttp://id.loc.gov/vocabulary/relators/edtInternational Association for Pattern Recognition.PRIB 2010BOOK996466252003316Pattern Recognition in Bioinformatics772456UNISA