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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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Mentioned by

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3 Wikipedia pages

Citations

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Title
Computational Intelligence Methods for Bioinformatics and Biostatistics
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-67834-4
ISBNs
978-3-31-967833-7, 978-3-31-967834-4
Editors

Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 7%
Researcher 5 5%
Student > Master 3 3%
Unspecified 3 3%
Student > Postgraduate 3 3%
Other 6 5%
Unknown 83 75%
Readers by discipline Count As %
Computer Science 8 7%
Agricultural and Biological Sciences 4 4%
Unspecified 3 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Chemistry 2 2%
Other 8 7%
Unknown 83 75%