Computational Intelligence Methods for Bioinformatics and Biostatistics 12th International Meeting CIBB 2015 Naples Italy September 10 12 2015 Revised Selected Papers 1st Edition by Claudia Angelini,Paola MV Rancoita,Stefano Rovetta ISBN 3319443313 978-3319443317

Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015 Revised Selected Papers 1st Edition by Claudia Angelini, Paola MV Rancoita, Stefano Rovetta – Ebook PDF Instant Download/Delivery: 3319443313, 978-3319443317

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Product details:

ISBN 10: 3319443313

ISBN 13:  978-3319443317

Author:  Claudia Angelini, Paola MV Rancoita, Stefano Rovetta 

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015.

The 21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in bioinformatics, systems biology and medical informatics discussing cutting edge methodologies and accelerate life science discoveries, as well as novel challenges with an high impact on molecular biology and translational medicine.

Table of contents: 

Front Matter

Part I: Computational Intelligence Methods for Bioinformatics and Biostatistics

• Chapter 1: Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values

• Chapter 2: Variational Inference in Probabilistic Single-cell RNA-seq Models

• Chapter 3: Centrality Speeds the Subgraph Isomorphism Search Up in Target Aware Contexts

• Chapter 4: Structure-Based Antibody Paratope Prediction with 3D Zernike Descriptors and SVM

• Chapter 5: Simultaneous Phasing of Multiple Polyploids

• Chapter 6: Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings

• Chapter 7: Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

• Chapter 8: A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks

• Chapter 9: Improved Predictor-Corrector Algorithm

• Chapter 10: Identification of Key miRNAs in Regulation of PPI Networks

• Chapter 11: Recurrent Deep Neural Networks for Nucleosome Classification

Part II: Modeling and Simulation Methods in System Biology

• Chapter 12: Searching for the Source of Difference: A Graphical Model Approach

• Chapter 13: A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference

• Chapter 14: Inhibition of Primed Ebola Virus Glycoprotein by Peptide Compound Conjugated to HIV-1 Tat Peptide Through a Virtual Screening Approach

• Chapter 15: Pharmacophore Modelling, Virtual Screening, and Molecular Docking Simulations of Natural Product Compounds as Potential Inhibitors of Ebola Virus Nucleoprotein

• Chapter 16: Global Sensitivity Analysis of Constraint-Based Metabolic Models

• Chapter 17: Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization

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Tags: Claudia Angelini, Paola MV Rancoita, Stefano Rovetta, Computational Intelligence, Methods for Bioinformatics and, Biostatistics 12th International