Pattern Recognition in Bioinformatics 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings
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Sprache:Englisch
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Verlag:Springer Berlin
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Auflage:2010
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51,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
20.09.2010
Abbildungen
XII, 153 illus., schwarz-weiss Illustrationen
Herausgeber
Tjeerd M.H. Dijkstra + weitereVerlag
Springer BerlinSeitenzahl
442
Maße (L/B/H)
23,5/15,5/2,6 cm
Gewicht
709 g
Auflage
2010
Sprache
Englisch
ISBN
978-3-642-16000-4
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 ExpertKnowledge 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.
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