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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection - Rilegato
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This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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Lulu.com (edition null), 2011
ISBN 10: 1257645250
ISBN 13: 9781257645251
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Hardcover. Condizione: Good. null. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Codice articolo 1257645250-11-1
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester co. Codice articolo 447461108
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described. Codice articolo 9781257645251
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Machine-Learning based sequence analysis, bioinformatics & nanopore transduction detection
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