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Intelligent Computing in Bioinformatics

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Cover of 'Intelligent Computing in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting the Outer/Inner BetaStrands in Protein Beta Sheets Based on the Random Forest Algorithm
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    Chapter 2 Extract Features Using Stacked Denoised Autoencoder
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    Chapter 3 Cancer Classification Using Ensemble of Error Correcting Output Codes
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    Chapter 4 Early Detection Method of Alzheimer’s Disease Using EEG Signals
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    Chapter 5 Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation
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    Chapter 6 Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation
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    Chapter 7 Training Deep Fourier Neural Networks to Fit Time-Series Data
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    Chapter 8 Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction
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    Chapter 9 Multi-scale Level Set Method for Medical Image Segmentation without Re-initialization
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    Chapter 10 A Novel Local Regional Model Based on Three-Layer Structure
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    Chapter 11 Multi-modality Medical Case Retrieval Using Heterogeneous Information
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    Chapter 12 An Incremental Updating Based Fast Phenotype Structure Learning Algorithm
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    Chapter 13 A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation
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    Chapter 14 An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection
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    Chapter 15 Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach
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    Chapter 16 Concept Mining of Binary Gene Expression Data
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    Chapter 17 Inference of Dynamic Gene Regulatory Relations with Multiple Regulators
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    Chapter 18 Evolving Additive Tree Model for Inferring Gene Regulatory Networks
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    Chapter 19 Analyzing Support Vector Machine Overfitting on Microarray Data
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    Chapter 20 Evolutionary Design of Synthetic Gene Networks by Means of a Semantic Expert System
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    Chapter 21 Stability and Oscillation of the Solutions for a Coupled FHN Model with Time Delays
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    Chapter 22 A Restrained Optimal Perturbation Method for Solving a Kind of Inverse Problem with Variable Coefficient
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    Chapter 23 A Knowledge-Guided Approach for Inferring Gene Regulatory Networks
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    Chapter 24 A Framework for Automatic Hair Counting and Measurement
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    Chapter 25 A Deep Learning Method for Classification of EEG Data Based on Motor Imagery
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    Chapter 26 Investigation of New Statistical Features for BCI Based Sleep Stages Recognition through EEG Bio-signals
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    Chapter 27 Discrimination of ADHD Based on fMRI Data with Deep Belief Network
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    Chapter 28 ADHD-200 Classification Based on Social Network Method
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    Chapter 29 Motor Imagery EEG Signals Analysis Based on Bayesian Network with Gaussian Distribution
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    Chapter 30 Prediction of Molecular Substructure Using Mass Spectral Data Based on Metric Learning
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    Chapter 31 Combine Multiple Mass Spectral Similarity Measures for Compound Identification in GC-MS
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    Chapter 32 Metagenomic Phylogenetic Classification Using Improved Naïve Bayes
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    Chapter 33 Predicting Protein-Protein Interaction Sites by Rotation Forests with Evolutionary Information
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    Chapter 34 Predicting Potential Ligands for Orphan GPCRs Based on the Improved Laplacian Regularized Least Squares Method
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    Chapter 35 Computational Evaluation of Protein Energy Functions
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    Chapter 36 Selection and Classification of Gene Expression Data Using a MF-GA-TS-SVM Approach
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    Chapter 37 Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records
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    Chapter 38 Potential Driver Genes Regulated by OncomiRNA Are Associated with Druggability in Pan-Negative Melanoma
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    Chapter 39 Classification of Ventricular Tachycardia and Fibrillation Based on the Lempel-Ziv Complexity and EMD
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    Chapter 40 Prediction of Protein Structure Classes with Ensemble Classifiers
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    Chapter 41 A Parameterized Algorithm for Predicting Transcription Factor Binding Sites
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    Chapter 42 Road Network Construction and Hot Routes Inferring with Vehicular Trajectories
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    Chapter 43 PSO Based on Cartesian Coordinate System
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    Chapter 44 An Improved PSO for Multimodal Complex Problem
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    Chapter 45 A Weighted Bacterial Colony Optimization for Feature Selection
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    Chapter 46 A Novel Method for Image Segmentation Based on Nature Inspired Algorithm
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    Chapter 47 Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting
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    Chapter 48 Bacterial Foraging Optimization with Neighborhood Learning for Dynamic Portfolio Selection
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    Chapter 49 Structure-Redesign-Based Bacterial Foraging Optimization for Portfolio Selection
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    Chapter 50 Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem
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    Chapter 51 Improving Fusion with One-Class Classification and Boosting in Multimodal Biometric Authentication
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    Chapter 52 Integrative Analysis of Gene Expression and Promoter Methylation during Reprogramming of a Non-Small-Cell Lung Cancer Cell Line Using Principal Component Analysis-Based Unsupervised Feature Extraction
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    Chapter 53 Predicting the Subcellular Localization of Proteins with Multiple Sites Based on Multiple Features Fusion
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    Chapter 54 Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks
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    Chapter 55 Comparative Assessment of Data Sets of Protein Interaction Hot Spots Used in the Computational Method
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    Chapter 56 The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction
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    Chapter 57 Identification of Novel c-Yes Kinase Inhibitors
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    Chapter 58 A New Graph Theoretic Approach for Protein Threading
Overall attention for this book and its chapters
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Title
Intelligent Computing in Bioinformatics
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-09330-7
ISBNs
978-3-31-909329-1, 978-3-31-909330-7
Editors

De-Shuang Huang, Kyungsook Han, Michael Gromiha

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 6%
Brazil 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Master 3 18%
Researcher 3 18%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 6 35%
Agricultural and Biological Sciences 2 12%
Engineering 2 12%
Mathematics 1 6%
Physics and Astronomy 1 6%
Other 3 18%
Unknown 2 12%