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| Artikel-Nr.: 858A-9783540239277 Herst.-Nr.: 9783540239277 EAN/GTIN: 9783540239277 |
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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. Weitere Informationen:  |  | Author: | Jesús A. López; Emilio Benfenati; Werner Dubitzky | Verlag: | Springer Berlin | Sprache: | eng |
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 | Weitere Suchbegriffe: Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Annotation, Microarray, algorithmic learning, algorithms, artificial life, bioinformatics, classification, data analysis |
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