Knowledge Exploration in Life Science Informatics: International Symposium Kelsi 2004, Milan, Italy, November 25-26, 2004, Proceedings

Lopez J. A. (Ed), Dubitzky W. (Ed), Benfenati E. (Ed)3540304789

This book constitutes the refereed proceedings of the International Symposium on Knowledge Exploration in Life Science Informatics, KELSI 2004, held in Milan, Italy in November 2004.The 20 revised full papers presented were carefully reviewed and selected for inclusion in the book. Among the topics covered are proteomic data analysis, rule induction, multiple sequence alignment, pattern extraction, microarray analysis, functional data analysis, text mining, artificial life, evolutionary algorithms, randomized algorithms, feature extraction, classification, case-based learning, and bioscience education.

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Table of contents :
Table of Contents……Page 10
A Pen-and-Paper Notation for Teaching Biosciences……Page 12
An Exploration of Some Factors Affecting the Correlation of mRNA and Proteomic Data……Page 20
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets……Page 31
A Randomized Algorithm for Distance Matrix Calculations in Multiple Sequence Alignment……Page 44
Extracting Sequential Patterns for Gene Regulatory Expressions Profiles……Page 57
Data Analysis of Microarrays Using SciCraft……Page 69
Functional Data Analysis of the Dynamics of Gene Regulatory Networks……Page 80
Text Mining of Full Text Articles and Creation of a Knowledge Base for Analysis of Microarray Data……Page 95
Analysis of Protein/Protein Interactions Through Biomedical Literature: Text Mining of Abstracts vs. Text Mining of Full Text Articles……Page 107
Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition……Page 120
A New Artificial Life Formalization Model: A Worm with a Bayesian Brain……Page 135
Teaching Grasping to a Humanoid Hand as a Generalization of Human Grasping Data……Page 150
JavaSpaces – An Affordable Technology for the Simple Implementation of Reusable Parallel Evolutionary Algorithms……Page 162
Detecting and Adapting to Concept Drift in Bioinformatics……Page 172
Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis……Page 180
Evaluation of Outcome Prediction for a Clinical Diabetes Database……Page 192
Cytochrome P450 Classification of Drugs with Support Vector Machines Implementing the Nearest Point Algorithm……Page 202
Multiple-Instance Case-Based Learning for Predictive Toxicology……Page 217
Modelling and Prediction of Toxicity of Environmental Pollutants……Page 232
Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models……Page 246
Author Index……Page 260