Pattern Recognition in Bioinformatics 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kadirkamanathan, Visakan (Επιμελητής έκδοσης), Sanguinetti, Guido (Επιμελητής έκδοσης), Girolami, Mark (Επιμελητής έκδοσης), Niranjan, Mahesan (Επιμελητής έκδοσης), Noirel, Josselin (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Σειρά:Lecture Notes in Computer Science, 5780
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Pattern Recognition in Bioinformatics  |h [electronic resource] :  |b 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings /  |c edited by Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a XIV, 452 p.  |b online resource. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5780 
505 0 |a 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. 
650 0 |a Life sciences. 
650 0 |a Health informatics. 
650 0 |a Data mining. 
650 0 |a Computer graphics. 
650 0 |a Pattern recognition. 
650 0 |a Bioinformatics. 
650 1 4 |a Life Sciences. 
650 2 4 |a Life Sciences, general. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Computational Biology/Bioinformatics. 
650 2 4 |a Health Informatics. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
700 1 |a Kadirkamanathan, Visakan.  |e editor. 
700 1 |a Sanguinetti, Guido.  |e editor. 
700 1 |a Girolami, Mark.  |e editor. 
700 1 |a Niranjan, Mahesan.  |e editor. 
700 1 |a Noirel, Josselin.  |e editor. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642040306 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 5780 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-04031-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
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950 |a Computer Science (Springer-11645)