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Knowledge Exploration in Life Science Informatics

International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings
BuchKartoniert, Paperback
250 Seiten
Englisch
Springererschienen am22.11.20042004
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.mehr
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BuchKartoniert, Paperback
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Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-3-540-23927-7
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2004
Erscheinungsdatum22.11.2004
Auflage2004
ReiheLecture Notes in Computer Science
Seiten250 Seiten
SpracheEnglisch
Gewicht396 g
IllustrationenX, 250 p.
Artikel-Nr.10593511

Inhalt/Kritik

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

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