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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 An Open-Source Tool for Managing Time-Evolving Variant Annotation
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    Chapter 2 Extracting Few Representative Reconciliations with Host Switches
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    Chapter 3 A Quantitative and Qualitative Characterization of k -mer Based Alignment-Free Phylogeny Construction
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    Chapter 4 Cancer Mutational Signatures Identification with Sparse Dictionary Learning
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    Chapter 5 Icing : Large-Scale Inference of Immunoglobulin Clonotypes
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    Chapter 6 Adenine : A HPC-Oriented Tool for Biological Data Exploration
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    Chapter 7 Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process
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    Chapter 8 Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions
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    Chapter 9 GP-Based Grammatical Inference for Classification of Amyloidogenic Sequences
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    Chapter 10 Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO’s Performance
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    Chapter 11 Haplotype and Repeat Separation in Long Reads
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    Chapter 12 Tumor Subclonal Progression Model for Cancer Hallmark Acquisition
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    Chapter 13 GIMLET: Identifying Biological Modulators in Context-Specific Gene Regulation Using Local Energy Statistics
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    Chapter 14 Structural Features of a DPPG Liposome Layer Adsorbed on a Rough Surface
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    Chapter 15 Chemical Exchanges and Actuation in Liposome-Based Synthetic Cells: Interaction with Biological Cells
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    Chapter 16 A Nano Communication System for CTC Detection in Blood Vessels
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    Chapter 17 Experimental Evidences Suggest High Between-Vesicle Diversity of Artificial Vesicle Populations: Results, Models and Implications
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    Chapter 18 Towards the Synthesis of Photo-Autotrophic Protocells
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    Chapter 19 Hierarchical Block Matrix Approach for Multi-view Clustering
Attention for Chapter 15: Chemical Exchanges and Actuation in Liposome-Based Synthetic Cells: Interaction with Biological Cells
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Chapter title
Chemical Exchanges and Actuation in Liposome-Based Synthetic Cells: Interaction with Biological Cells
Chapter number 15
Book title
Computational Intelligence Methods for Bioinformatics and Biostatistics
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-030-14160-8_15
Book ISBNs
978-3-03-014159-2, 978-3-03-014160-8
Authors

Giordano Rampioni, Francesca D’Angelo, Alessandro Zennaro, Livia Leoni, Pasquale Stano, Rampioni, Giordano, D’Angelo, Francesca, Zennaro, Alessandro, Leoni, Livia, Stano, Pasquale

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The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Computer Science 1 25%
Engineering 1 25%
Unknown 1 25%