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| Titolo: |
Pattern Recognition in Bioinformatics [[electronic resource] ] : 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009, Proceedings / / edited by Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel
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| Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Edizione: | 1st ed. 2009. |
| Descrizione fisica: | 1 online resource (XIV, 452 p.) |
| Disciplina: | 570 |
| Soggetto topico: | Life sciences |
| Pattern recognition | |
| Bioinformatics | |
| Health informatics | |
| Data mining | |
| Optical data processing | |
| Life Sciences, general | |
| Pattern Recognition | |
| Computational Biology/Bioinformatics | |
| Health Informatics | |
| Data Mining and Knowledge Discovery | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Persona (resp. second.): | KadirkamanathanVisakan |
| SanguinettiGuido | |
| GirolamiMark | |
| NiranjanMahesan | |
| NoirelJosselin | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Evolutionary Parameters in Sequence Families -- MProfiler: A Profile-Based Method for DNA Motif Discovery -- On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification -- Joint Tracking of Cell Morphology and Motion -- Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models -- An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction -- Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana -- Sequential Hierarchical Pattern Clustering -- Syntactic Pattern Recognition Using Finite Inductive Strings -- Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data -- Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks -- Ligand Electron Density Shape Recognition Using 3D Zernike Descriptors -- Definition of Valid Proteomic Biomarkers: A Bayesian Solution -- Inferring Meta-covariates in Classification -- A Multiobjective Evolutionary Algorithm for Numerical Parameter Space Characterization of Reaction Diffusion Systems -- Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands -- Distinguishing Regional from Within-Codon Rate Heterogeneity in DNA Sequence Alignments -- A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms -- Di-codon Usage for Gene Classification -- Counting Patterns in Degenerated Sequences -- Modelling Stem Cells Lineages with Markov Trees -- Bi-clustering of Gene Expression Data Using Conditional Entropy -- c-GAMMA:Comparative Genome Analysis of Molecular Markers -- Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics -- Classification of Protein Interaction Sentences via Gaussian Processes -- MCMC Based Bayesian Inference for Modeling Gene Networks -- Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation -- A Pattern Classification Approach to DNA Microarray Image Segmentation -- Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds -- Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix -- Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery -- Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem -- Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles -- Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints -- Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence -- Patterns, Movement and Clinical Diagnosis of Abdominal Adhesions -- Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm -- Cross-Platform Analysis with Binarized Gene Expression Data. |
| Titolo autorizzato: | Pattern Recognition in Bioinformatics ![]() |
| ISBN: | 3-642-04031-4 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996465322003316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |