Synopsis
Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
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About the Author
Shibiao Wan, Man-Wai Mak, Hong Kong Polytechnic University, Hong Kong.
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Machine Learning for Protein Subcellular Localization Prediction
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Machine Learning for Protein Subcellular Localization Prediction
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De Gruyter, De Gruyter Apr 2015, 2015
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ISBN 13: 9781501510489
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction. 210 pp. Englisch. Seller Inventory # 9781501510489
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