Knowledge Exploration in Life Science Informatics International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2004.
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Έκδοση: | 1st ed. 2004. |
Σειρά: | Lecture Notes in Artificial Intelligence ;
3303 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.