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Machine Learning Microbial Phenotype by Feldbauer Roman (17 results)
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Machine Learning for Microbial Phenotype Prediction (BestMasters)
Book 33 of 91: BestMastersSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.34
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersLanguage: English
Published by Springer Spektrum 2016-06, 2016
ISBN 10: 3658143185 ISBN 13: 9783658143183
PF. Condition: New.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 124.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersLanguage: English
Published by Spektrum Akademischer Verlag Gmbh, 2016
ISBN 10: 3658143185 ISBN 13: 9783658143183
Paperback. Condition: Brand New. 110 pages. 8.00x5.75x0.25 inches. In Stock.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658143185 ISBN 13: 9783658143183
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 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.
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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]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden Jun 2016, 2016
ISBN 10: 3658143185 ISBN 13: 9783658143183
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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 datasets. 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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Condition: New. PRINT ON DEMAND pp. 124.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersLanguage: English
Published by Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658143185 ISBN 13: 9783658143183
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 scalable, generic methodology.
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Machine Learning for Microbial Phenotype Prediction
Book 33 of 91: BestMastersSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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 datasets. 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.
