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Machine Learning for Microbial Phenotype Prediction

Name: Machine Learning for Microbial Phenotype Prediction
Brand: Springer Fachmedien Wiesbaden
SKU: 10929535
Price: 53.79 EUR
Availability: InStock
Author: Roman Feldbauer
ISBN: 9783658143183

Roman Feldbauer

Language

English

Book Paperback

Libristo code: 10929535

Publishers Springer Fachmedien Wiesbaden, June 2016

This thesis presents a scalable, generic methodology for microbial phenotype prediction based on sup... Full description

Libristo code: 10929535

132 b

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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.