The success of Bioinformatics in recent years has been prompted by research in molecular biology and medicine in initiatives like the human genome project. The volume and diversification of data has increased so much that it is very hard if not impossible to analyze it by human experts.
The analysis of this growing body of data, intensified by the development of a number of high-throughput experimental techniques that are generating the so called 'omics' data, has prompted for new computational methods. New global approaches, such as Systems Biology, have been emerging replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling and computer science. Computational methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks.
This workshop brings the opportunity to discuss applications of Bioinformatics and Computational Biology exploring the interactions between computer scientists, biologists and other scientific researchers. The IWPACBB technical program includes 29 papers (23 long papers and 6 short papers) selected from a submission pool of 51 papers, from 9 different countries.
Author(s): Juan A. Lara, Aurora Pérez, Juan P. Valente, África López-Illescas (auth.), Juan M. Corchado, Juan F. De Paz, Miguel P. Rocha, Florentino Fernández Riverola (eds.)
Series: Advances in Soft Computing 49
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 254
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Bioinformatics; Computational Biology/Bioinformatics
Front Matter....Pages -
Comparing Time Series through Event Clustering....Pages 1-9
Visual Knowledge-Based Metaphors to Support the Analysis of Polysomnographic Recordings....Pages 10-20
A Bio-inspired Proposal for Focus Attention While Preserving Information....Pages 21-29
Modelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks....Pages 30-39
New Principles and Adequate Control Methods for Insulin Dosage in Case of Diabetes....Pages 40-44
A Framework for CBR Development and Experimentation with Application to Medical Diagnosis....Pages 45-54
Identification of Relevant Knowledge for Characterizing the Melanoma Domain....Pages 55-59
TAT-NIDS: An Immune-Based Anomaly Detection Architecture for Network Intrusion Detection....Pages 60-67
Novel Computational Methods for Large Scale Genome Comparison....Pages 68-73
Improving Literature Searches in Gene Expression Studies....Pages 74-82
Implementing an Interactive Web-Based DAS Client....Pages 83-91
Data Integration Issues in the Reconstruction of the Genome-Scale Metabolic Model of Zymomonas Mobillis ....Pages 92-101
Applying CBR Systems to Micro Array Data Classification....Pages 102-111
Multiple-Microarray Analysis and Internet Gathering Information with Application for Aiding Medical Diagnosis in Cancer Research....Pages 112-117
Evolutionary Techniques for Hierarchical Clustering Applied to Microarray Data....Pages 118-127
Beds and Bits: The Challenge of Translational Bioinformatics....Pages 128-136
A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis....Pages 137-146
Named Entity Recognition and Normalization: A Domain-Specific Language Approach....Pages 147-155
BIORED - A Genetic Algorithm for Pattern Detection in Biosequences....Pages 156-165
A Recursive Genetic Algorithm to Automatically Select Genes for Cancer Classification....Pages 166-174
On Mining Protein Unfolding Simulation Data with Inductive Logic Programming....Pages 175-179
A Knowledge Discovery Method for the Characterization of Protein Unfolding Processes....Pages 180-188
Design of New Chemoinformatic Tools for the Analysis of Virtual Screening Studies: Application to Tubulin Inhibitors....Pages 189-196
Multi-Objective Optimization of Biological Networks for Prediction of Intracellular Fluxes....Pages 197-205
SimSearch: A New Variant of Dynamic Programming Based on Distance Series for Optimal and Near-Optimal Similarity Discovery in Biological Sequences....Pages 206-216
Tuning Parameters of Evolutionary Algorithms Using ROC Analysis....Pages 217-222
Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem....Pages 223-232
Global Sensitivity Analysis of a Biochemical Pathway Model....Pages 233-242
Improving a Leaves Automatic Recognition Process Using PCA....Pages 243-251
Back Matter....Pages -
