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Knowledge Exploration in Life Science Informatics [electronic resource] : International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 3303Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004Edition: 1st ed. 2004Description: X, 250 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540304784
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBook
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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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