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Pattern Recognition in Bioinformatics

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Cover of 'Pattern Recognition in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks
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    Chapter 2 Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression
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    Chapter 3 A Genetic Algorithm for Scale-Based Translocon Simulation
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    Chapter 4 A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm
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    Chapter 5 Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns
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    Chapter 6 A Unified Adaptive Co-identification Framework for High-D Expression Data
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    Chapter 7 Protein Clustering on a Grassmann Manifold
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    Chapter 8 Improving the Portability and Performance of jViz.RNA – A Dynamic RNA Visualization Software
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    Chapter 9 Pattern Recognition in Bioinformatics
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    Chapter 10 An Open Framework for Extensible Multi-stage Bioinformatics Software
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    Chapter 11 An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction
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    Chapter 12 A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis
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    Chapter 13 Principal Component Analysis for Bacterial Proteomic Analysis
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    Chapter 14 Pattern Recognition in Bioinformatics
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    Chapter 15 Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction
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    Chapter 16 Improvement of the Protein–Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis
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    Chapter 17 Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters
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    Chapter 18 Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine
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    Chapter 19 Predicting V(D)J Recombination Using Conditional Random Fields
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    Chapter 20 A Simple Genetic Algorithm for Biomarker Mining
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    Chapter 21 Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment
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    Chapter 22 Aligning Discovered Patterns from Protein Family Sequences
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    Chapter 23 Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats
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    Chapter 24 Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation
Attention for Chapter 13: Principal Component Analysis for Bacterial Proteomic Analysis
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Chapter title
Principal Component Analysis for Bacterial Proteomic Analysis
Chapter number 13
Book title
Pattern Recognition in Bioinformatics
Published by
Springer, Berlin, Heidelberg, November 2012
DOI 10.1007/978-3-642-34123-6_13
Book ISBNs
978-3-64-234122-9, 978-3-64-234123-6
Authors

Y. -h. Taguchi, Akira Okamoto, Taguchi, Y. -h., Okamoto, Akira

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Computer Science 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%