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  • Produktbild: Pattern Recognition in Bioinformatics
  • Produktbild: Pattern Recognition in Bioinformatics

Pattern Recognition in Bioinformatics 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 69.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.09.2012

Abbildungen

XII, 74 illus., schwarz-weiss Illustrationen

Herausgeber

Tetsuo Shibuya + weitere

Verlag

Springer Berlin

Seitenzahl

278

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

447 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-34122-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.09.2012

Abbildungen

XII, 74 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

278

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

447 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-34122-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Pattern Recognition in Bioinformatics
  • Produktbild: Pattern Recognition in Bioinformatics

  • 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.