Machine Learning for Microbial Phenotype Prediction

Machine Learning for Microbial Phenotype Prediction

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...

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Bibliographic Details
Main Author: Feldbauer, Roman (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.
Series:BestMasters
Subjects:
Life sciences.
Bioinformatics.
Microbiology.
Biomathematics.
Life Sciences.
Mathematical and Computational Biology.
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ΒΚΠ - Πατρα: ALFd

Holdings details from ΒΚΠ - Πατρα: ALFd
Call Number: 330.01 BAU
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ΒΚΠ - Πατρα: BSC

Holdings details from ΒΚΠ - Πατρα: BSC
Call Number: 330.01 BAU
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