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Machine Learning for Protein Subcellular Localization Prediction

Machine Learning for Protein Subcellular Localization Prediction

Hardback (24 Apr 2015)

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Publisher's 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.

Book information

ISBN: 9781501510489
Publisher: De Gruyter
Imprint: De Gruyter
Pub date:
DEWEY: 572.696
DEWEY edition: 23
Language: English
Number of pages: 209
Weight: 495g
Height: 240mm
Width: 170mm
Spine width: 13mm