Computational Intelligence Methods for Bioinformatics and Biostatistics : 5th International Meeting, CIBB 2008 Vietri sul Mare, Italy, October 3-4, 2008 Revised Selected Papers / edited by Francesco Masulli, Roberto Tagliaferri, Gennady M. Verkhivker.

Format:

Book

Contributor:

Masulli, F. (Francesco), editor.

Tagliaferri, Roberto, editor.

Verkhivker Gennady M., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 5488.

Lecture Notes in Bioinformatics ; 5488

Language:

English

Subjects (All):

Medicine.

Life sciences.

Data structures (Computer science).

Database management.

Bioinformatics.

Computational biology.

Medicine/Public Health, general.

Life Sciences, general.

Data Structures and Information Theory.

Database Management.

Computational Biology/Bioinformatics.

Computer Appl. in Life Sciences.

Local Subjects:

Medicine/Public Health, general.

Life Sciences, general.

Data Structures and Information Theory.

Database Management.

Computational Biology/Bioinformatics.

Computer Appl. in Life Sciences.

Physical Description:

1 online resource (XI, 294 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed post-conference proceedings of the Fifth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2008, held in Vietri sul Mare, Italy, in October 2008. The 23 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from 69 submissions. The main goal of the CIBB meetings is to provide a forum open to researchers from different disciplines to present and discuss problems concerning computational techniques in bioinformatics, systems biology and medical informatics with a particular focus on neural networks, machine learning, fuzzy logic, and evolutionary computation methods.

Contents:

Invited Papers

Coarse-Grained Modeling of the HIV-1 Protease Binding Mechanisms: I. Targeting Structural Flexibility of the Protease Flaps and Implications for Drug Design

Coarse-Grained Modeling of the HIV-1 Protease Binding Mechanisms: II. Folding Inhibition

Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data

CIBB Regular Session

Comparative In Silico Evaluation of MYB Transcription Factors in Eucalyptus, Sugarcane and Rice Transcriptomes

Building Maps of Drugs Mode-of-Action from Gene Expression Data

In Silico Evaluation of Osmoprotectants in Eucalyptus Transcriptome

Mining Association Rule Bases from Integrated Genomic Data and Annotations

Stability and Performances in Biclustering Algorithms

Splice Site Prediction Using Artificial Neural Networks

Interval Length Analysis in Multi Layer Model

A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probability

Control of Cellular Glycolysis by Perturbations in the Glucose Influx

Curating a Large-Scale Regulatory Network by Evaluating Its Consistency with Expression Datasets

Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulations

Clustering Bacteria Species Using Neural Gas: Preliminary Study

A New Linear Initialization in SOM for Biomolecular Data

3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images

Searching for Glycomics Role in Stem Cell Development

A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Predictions

Analysis of Kernel Based Protein Classification Strategies Using Pairwise Sequence Alignment Measures

Special Session: ISMDS - Intelligent Systems for Medical Decisions Support

Topology Preserving Neural Networks for Peptide Design in Drug Discovery

A Machine Learning Approach to Mass Spectra Classification with Unsupervised Feature Selection

Liver i-BiopsyTM and the Corresponding Intelligent Fibrosis Scoring Systems: i-Metavir F and i-Ishak F

Special Session: Computational Intelligence for Biological Data Visualization

An Extension of the TIGR M4 Suite to Preprocess and Visualize Affymetrix Binary Files

A Supervised Learning Technique and Its Applications to Computational Biology

A Visualization ToolKit Based Application for Representing Macromolecular Surfaces.

Other Format:

Printed edition:

ISBN:

978-3-642-02504-4

9783642025044

Access Restriction:

Restricted for use by site license.