Machine Learning for Protein Subcellular Localization Prediction

Beschreibung

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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Shibiao Wan

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Bioinformatics Proteomics Computer Science

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