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Pattern Recognition In Bioinformatics

7th Iapr International Conference, Prib 2012, Tokyo, Japan, November 8-10, 2012, Proceedings

Pattern Recognition In Bioinformatics - Shibuya, Tetsuo (EDT)/ Kashima, Hisashi (EDT)/ Sese, Jun (EDT)/ Ahmad, Shandar (EDT) - ISBN: 9783642341229
Prijs: € 52,75
Levertijd: 4 tot 6 werkdagen
Bindwijze: Boek, Paperback (14-09-2012)
Genre: Informatiekunde
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Beschrijving

Constitutes The Refereed Proceedings Of The 7th International Conference On Pattern Recognition In Bioinformatics, Prib 2012, Held In Tokyo, Japan, In November 2012.

Details

Titel: Pattern Recognition In Bioinformatics
auteur: Shibuya, Tetsuo (EDT)/ Kashima, Hisashi (EDT)/ Sese, Jun (EDT)/ Ahmad, Shandar (EDT)
Mediatype: Boek
Bindwijze: Paperback
Taal: Engels
Druk: 1
Aantal pagina's: 300
Uitgever: Springer-Verlag New York Inc
Plaats van publicatie: 04
Publicatiedatum: 14-09-2012
NUR: Informatiekunde
Afmetingen: 234 x 158 x 19
Gewicht: 408 gr
ISBN/ISBN13: 9783642341229
Intern nummer: 23733820

Inhoudsopgave

Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks.- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression.- A Genetic Algorithm for Scale-Based Translocon Simulation.- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm.- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns.- A Unified Adaptive Co-identification Framework for High-D Expression Data.- Protein Clustering on a Grassmann Manifold.- Improving the Portability and Performance of jViz.RNA - A Dynamic RNA Visualization Software.- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images.- An Open Framework for Extensible Multi-stage Bioinformatics Software.- An Algorithm to Assemble Gene-Protein Reaction Associations for Genome-Scale Metabolic Model Reconstruction.- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data - A NMR-Based Metabolomics Platform for the Assessment of Brazilian.- Principal Component Analysis for Bacterial Proteomic Analysis.- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction.- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.- Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis.- Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters.- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine.- Predicting V(D)J Recombination Using Conditional Random Fields.- A Simple Genetic Algorithm for Biomarker Mining.- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment.- Aligning Discovered Patterns from Protein Family Sequences.- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats.- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation.

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