Knowledge exploration in life science informatics : International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004 : proceedings
著者
書誌事項
Knowledge exploration in life science informatics : International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004 : proceedings
(Lecture notes in computer science, 3303 . Lecture notes in artificial intelligence)
Springer, c2004
大学図書館所蔵 全11件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
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注記
Includes bibliographies and index
内容説明・目次
内容説明
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.
目次
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.
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