This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes ...
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This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
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Add this copy of Computational Methods for Predicting Post-Translational to cart. $159.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by Springer-Verlag New York Inc..
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Methods in Molecular Biology . XVII, 326 p. 66 illus., 60 illus. in color. Intended for professional and scholarly audience.
Add this copy of Computational Methods for Predicting Post-Translational to cart. $205.34, new condition, Sold by Booksplease rated 3.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2023 by Springer-Verlag New York Inc..
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Seller's Description:
New. Contains: Illustrations, black & white, Illustrations, color. Methods in Molecular Biology . XVII, 326 p. 66 illus., 60 illus. in color. Intended for professional and scholarly audience.
