Logo - springer
Slogan - springer

Computer Science - Bioinformatics | Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan,

Pattern Recognition in Bioinformatics

7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012, Proceedings

Shibuya, T., Kashima, H., Sese, J., Ahmad, S. (Eds.)

2012, XII, 278 p. 74 illus.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-34123-6

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-34122-9

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Fast-track conference proceedings
  • State-of-the-art research
  • Up-to-date results
This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012.
The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.

Content Level » Research

Keywords » evolutionary algorithms - extreme machine learning - genetic algorithm - protein structure prediction - supervised classification

Related subjects » Health Informatics

Table of contents 

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.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Biology / Bioinformatics.