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05291nam a22005895i 4500 |
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100301s2009 gw | s |||| 0|eng d |
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|a 9783642040313
|9 978-3-642-04031-3
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|a 10.1007/978-3-642-04031-3
|2 doi
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|a QH301-705
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|a SCI086000
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|a 570
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|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.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a XIV, 452 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 5780
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|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.
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|a Life sciences.
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|a Health informatics.
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|a Data mining.
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|a Computer graphics.
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|a Pattern recognition.
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|a Bioinformatics.
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|a Life Sciences.
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|a Life Sciences, general.
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|a Pattern Recognition.
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|a Computational Biology/Bioinformatics.
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|a Health Informatics.
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|a Data Mining and Knowledge Discovery.
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|a Computer Imaging, Vision, Pattern Recognition and Graphics.
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1 |
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|a Kadirkamanathan, Visakan.
|e editor.
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|a Sanguinetti, Guido.
|e editor.
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1 |
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|a Girolami, Mark.
|e editor.
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|a Niranjan, Mahesan.
|e editor.
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700 |
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|a Noirel, Josselin.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783642040306
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 5780
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|u http://dx.doi.org/10.1007/978-3-642-04031-3
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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