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Computational Intelligence Methods for Bioinformatics and Biostatistics

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Cover of 'Computational Intelligence Methods for Bioinformatics and Biostatistics'

Table of Contents

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    Book Overview
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    Chapter 1 Module Detection Based on Significant Shortest Paths for the Characterization of Gene Expression Data
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    Chapter 2 Information-Theoretic Active Contour Model for Microscopy Image Segmentation Using Texture
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    Chapter 3 Host Phenotype Prediction from Differentially Abundant Microbes Using RoDEO
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    Chapter 4 DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope
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    Chapter 5 PLS-SEM Mediation Analysis of Gene-Expression Data for the Evaluation of a Drug Effect
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    Chapter 6 A Novel Algorithm for CpG Island Detection in Human Genome Based on Clustering and Chaotic Particle Swarm Optimization
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    Chapter 7 COSYS: A Computational Infrastructure for Systems Biology
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    Chapter 8 Statistical Texture-Based Mapping of Cell Differentiation Under Microfluidic Flow
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    Chapter 9 Constraining Mechanism Based Simulations to Identify Ensembles of Parametrizations to Characterize Metabolic Features
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    Chapter 10 Process Algebra with Layers: Multi-scale Integration Modelling Applied to Cancer Therapy
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    Chapter 11 A Problem-Driven Approach for Building a Bioinformatics GraphDB
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    Chapter 12 Parameter Inference in Differential Equation Models of Biopathways Using Time Warped Gradient Matching
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    Chapter 13 IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer
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    Chapter 14 Effect of UV Radiation on DPPG and DMPC Liposomes in Presence of Catechin Molecules
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    Chapter 15 Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation Using Statistical Emulation
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    Chapter 16 Ensemble Approaches for Stable Assessment of Clusters in Microbiome Samples
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    Chapter 17 Multilayer Data and Document Stratification for Comorbidity Analysis
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    Chapter 18 Evolving Dendritic Morphologies Highlight the Impact of Structured Synaptic Inputs on Neuronal Performance
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    Chapter 19 Semantic Clustering for Identifying Overlapping Biological Communities
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