Machine Learning for Microbial Phenotype Prediction

Language: English

Published by Springer Jun 2016, 2016

3658143185 / 9783658143183

Series: Book 33 of 91 - BestMasters

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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.

Seller Inventory # 9783658143183

Title
Machine Learning for Microbial Phenotype Prediction
Author
Roman Feldbauer
Publisher
Springer Jun 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3658143185
ISBN 13
9783658143183
Item weight
172 grams
Dimensions
210x148x8 mm
Series
Book 33 of 91: BestMasters

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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