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"item_title" : "Machine Learning for Protein Subcellular Localization Prediction",
"item_author" : [" Shibiao Wan", "Man-Wai Mak "],
"item_description" : "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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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781501510489
- ISBN-10: 1501510487
- Publisher: de Gruyter
- Publish Date: April 2015
- Dimensions: 9.61 x 6.69 x 0.5 inches
- Shipping Weight: 1.19 pounds
- Page Count: 209
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