Computational Intelligence Methods for Bioinformatics and Biostatistics

5th International Meeting, CIBB 2008 Vietri sul Mare, Italy, October 3-4, 2008 Revised Selected Papers
2009
ISBN: 978-3-642-02503-7
Verlag: Springer

Buch, Englisch, Band 5488, 294 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Masulli, Francesco

Verkhivker, Gennady M.

Tagliaferri, Roberto

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Gesundheitssystem, Gesundheitswesen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

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.- TopologyPreserving 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.