Machine Learning for Microbial Phenotype Prediction

Language: English

Published by Springer Fachmedien Wiesbaden, 2016

3658143185 / 9783658143183

Series: Book 33 of 91 - BestMasters

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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.

Seller Inventory # 9783658143183

Title
Machine Learning for Microbial Phenotype Prediction
Author
Roman Feldbauer
Publisher
Springer Fachmedien Wiesbaden
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

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
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