Pattern Recognition in Bioinformatics

Table of Contents

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   Book Overview
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   Chapter 1 Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger
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   Chapter 2 Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
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   Chapter 3 Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search
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   Chapter 4 Structured Output Prediction of Anti-cancer Drug Activity
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   Chapter 5 Pattern Recognition in Bioinformatics
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   Chapter 6 Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence
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   Chapter 7 Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations
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   Chapter 8 Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data
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    Chapter 9 Novel Machine Learning Methods for MHC Class I Binding Prediction
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    Chapter 10 SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads
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    Chapter 11 The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings
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    Chapter 12 An Algorithm to Find All Identical Motifs in Multiple Biological Sequences
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    Chapter 13 Discovery of Non-induced Patterns from Sequences
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    Chapter 14 Exploring Homology Using the Concept of Three-State Entropy Vector
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    Chapter 15 A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem
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    Chapter 16 Polynomial Supertree Methods Revisited
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    Chapter 17 Enhancing Graph Database Indexing by Suffix Tree Structure
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    Chapter 18 Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data
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    Chapter 19 Iterated Local Search for Biclustering of Microarray Data
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    Chapter 20 Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray
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    Chapter 21 Measuring the Quality of Shifting and Scaling Patterns in Biclusters
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    Chapter 22 Frequent Episode Mining to Support Pattern Analysis in Developmental Biology
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    Chapter 23 Time Series Gene Expression Data Classification via L 1 -norm Temporal SVM
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    Chapter 24 Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding
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    Chapter 25 Quantification of Cytoskeletal Protein Localization from High-Content Images
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    Chapter 26 Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization
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    Chapter 27 Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
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    Chapter 28 Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging
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    Chapter 29 A Matrix Algorithm for RNA Secondary Structure Prediction
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    Chapter 30 Exploiting Long-Range Dependencies in Protein β -Sheet Secondary Structure Prediction
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    Chapter 31 Alpha Helix Prediction Based on Evolutionary Computation
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    Chapter 32 An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps
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    Chapter 33 Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction
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    Chapter 34 Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information
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    Chapter 35 SFFS-MR: A Floating Search Strategy for GRNs Inference
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    Chapter 36 Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms
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    Chapter 37 MC 4 : A Tempering Algorithm for Large-Sample Network Inference
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    Chapter 38 Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks