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|a 9783642040313
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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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| 250 |
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|a 1st ed. 2009.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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| 300 |
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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 Bioinformatics,
|x 2366-6331 ;
|v 5780
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| 505 |
0 |
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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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| 650 |
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0 |
|a Life sciences.
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| 650 |
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0 |
|a Pattern recognition systems.
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| 650 |
|
0 |
|a Bioinformatics.
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| 650 |
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0 |
|a Medical informatics.
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| 650 |
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0 |
|a Data mining.
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| 650 |
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0 |
|a Image processing-Digital techniques.
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| 650 |
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0 |
|a Computer vision.
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| 650 |
1 |
4 |
|a Life Sciences.
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| 650 |
2 |
4 |
|a Automated Pattern Recognition.
|
| 650 |
2 |
4 |
|a Computational and Systems Biology.
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| 650 |
2 |
4 |
|a Health Informatics.
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| 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.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Sanguinetti, Guido.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Girolami, Mark.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Niranjan, Mahesan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Noirel, Josselin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642040320
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642040306
|
| 830 |
|
0 |
|a Lecture Notes in Bioinformatics,
|x 2366-6331 ;
|v 5780
|
| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-04031-3
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
