Knowledge Exploration in Life Science Informatics: International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings (Lecture Notes in Computer Science, 3303)

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. Front Matter....Pages - A Pen-and-Paper Notation for Teaching Biosciences....Pages 1-8 An Exploration of Some Factors Affecting the Correlation of mRNA and Proteomic Data....Pages 9-19 Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets....Pages 20-32 A Randomized Algorithm for Distance Matrix Calculations in Multiple Sequence Alignment....Pages 33-45 Extracting Sequential Patterns for Gene Regulatory Expressions Profiles....Pages 46-57 Data Analysis of Microarrays Using SciCraft....Pages 58-68 Functional Data Analysis of the Dynamics of Gene Regulatory Networks....Pages 69-83 Text Mining of Full Text Articles and Creation of a Knowledge Base for Analysis of Microarray Data....Pages 84-95 Analysis of Protein/Protein Interactions Through Biomedical Literature: Text Mining of Abstracts vs. Text Mining of Full Text Articles....Pages 96-108 Ranking for Medical Annotation: Investigating Performance, Local Search and Homonymy Recognition....Pages 109-123 A New Artificial Life Formalization Model: A Worm with a Bayesian Brain....Pages 124-138 Teaching Grasping to a Humanoid Hand as a Generalization of Human Grasping Data....Pages 139-150 JavaSpaces – An Affordable Technology for the Simple Implementation of Reusable Parallel Evolutionary Algorithms....Pages 151-160 Detecting and Adapting to Concept Drift in Bioinformatics....Pages 161-168 Feature Extraction and Classification of the Auditory Brainstem Response Using Wavelet Analysis....Pages 169-180 Evaluation of Outcome Prediction for a Clinical Diabetes Database....Pages 181-190 Cytochrome P450 Classification of Drugs with Support Vector Machines Implementing the Nearest Point Algorithm....Pages 191-205 Multiple-Instance Case-Based Learning for Predictive Toxicology....Pages 206-220 Modelling and Prediction of Toxicity of Environmental Pollutants....Pages 221-234 Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models....Pages 235-248 Back Matter....Pages - This volume of the Springer Lecture Notes in Computer Science series contains the contributions presented at the International Symposium on Knowledge Exploration in Life Science Informatics (KELSI 2004) held in Milan, Italy, 25-26 November 2004. The two main objectives of the symposium were: • To explore the symbiosis between information and knowledge technologies and v- ious life science disciplines, such as biochemistry, biology, neuroscience, medical research, social sciences, and so on. • To investigate the synergy among different life science informatics areas, including cheminformatics,bioinformatics,neuroinformatics,medical informatics,systems - ology, socionics, and others. Modern life sciences investigate phenomena and systems at the level of molecules, cells, tissues, organisms, and populations. Typical areas of interest include natural e- lution, development,disease, behavior,cognition,and consciousness.This quest is g- eratinganoverwhelmingandfast-growingamountofdata,information,andknowledge, re?ecting living systems at different levels of organization. Future progress of the life sciences will depend on effective and ef?cient management, sharing, and exploitation of these resources by computational means

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.