Machine Learning Microbial Phenotype by Feldbauer Roman (18 results)
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Published by Spektrum Akademischer Verlag Gmbh, 2016
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Published by Springer Fachmedien Wiesbaden, 2016
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datasets. The res…ults suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-complete microbial genome sequences, as generated in large numbers in current metagenomic studies. Unraveling relationships between a living organism's genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.
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Taschenbuch. Condition: Neu. Machine Learning for Microbial Phenotype Prediction | Roman Feldbauer | Taschenbuch | BestMasters | xiii | Englisch | 2016 | Springer | EAN 9783658143183 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]ha…rtmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Fachmedien Wiesbaden Jun 2016, 2016
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic d…atasets. The results suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-complete microbial genome sequences, as generated in large numbers in current metagenomic studies. Unraveling relationships between a living organism's genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data. 124 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. 124.
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Published by Springer Fachmedien Wiesbaden, 2016
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. XYZ|Publication in the field of Bioinformatic ScienceMicrobial Genotypes and Phenotypes.- Basics of Machine Learning.- Phenotype Prediction Packages.- A Model for Intracellular Lifestyle.This thesis presents a scalabl…e, generic methodology.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datas…ets. The results suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-complete microbial genome sequences, as generated in large numbers in current metagenomic studies. Unraveling relationships between a living organism's genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 124 pp. Englisch.
