Pattern Recognition in Bioinformatics

Table of Contents

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   Book Overview
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   Chapter 1 Evolutionary Parameters in Sequence Families
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   Chapter 2 MProfiler: A Profile-Based Method for DNA Motif Discovery
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   Chapter 3 On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification
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   Chapter 4 Joint Tracking of Cell Morphology and Motion
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   Chapter 5 Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models
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   Chapter 6 An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction
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   Chapter 7 Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana
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   Chapter 8 Sequential Hierarchical Pattern Clustering
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    Chapter 9 Syntactic Pattern Recognition Using Finite Inductive Strings
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    Chapter 10 Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
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    Chapter 11 Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks
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    Chapter 12 Ligand Electron Density Shape Recognition Using 3D Zernike Descriptors
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    Chapter 13 Definition of Valid Proteomic Biomarkers: A Bayesian Solution
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    Chapter 14 Inferring Meta-covariates in Classification
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    Chapter 15 A Multiobjective Evolutionary Algorithm for Numerical Parameter Space Characterization of Reaction Diffusion Systems
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    Chapter 16 Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands
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    Chapter 17 Distinguishing Regional from Within-Codon Rate Heterogeneity in DNA Sequence Alignments
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    Chapter 18 A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
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    Chapter 19 Di-codon Usage for Gene Classification
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    Chapter 20 Counting Patterns in Degenerated Sequences
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    Chapter 21 Modelling Stem Cells Lineages with Markov Trees
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    Chapter 22 Bi-clustering of Gene Expression Data Using Conditional Entropy
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    Chapter 23 c-GAMMA:Comparative Genome Analysis of Molecular Markers
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    Chapter 24 Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
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    Chapter 25 Classification of Protein Interaction Sentences via Gaussian Processes
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    Chapter 26 MCMC Based Bayesian Inference for Modeling Gene Networks
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    Chapter 27 Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation
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    Chapter 28 A Pattern Classification Approach to DNA Microarray Image Segmentation
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    Chapter 29 Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds
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    Chapter 30 Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix
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    Chapter 31 Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery
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    Chapter 32 Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem
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    Chapter 33 Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles
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    Chapter 34 Pattern Recognition in Bioinformatics
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    Chapter 35 Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence
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    Chapter 36 Patterns, Movement and Clinical Diagnosis of Abdominal Adhesions
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    Chapter 37 Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
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    Chapter 38 Cross-Platform Analysis with Binarized Gene Expression Data