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Machine Learning for Microbial Phenotype Prediction

Roman Feldbauer (Autor)

Buch | Softcover

XIII, 110 Seiten

2016 | 1st ed. 2016
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-14318-3 (ISBN)

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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.

Roman Feldbauer is currently employed at the Austrian Research Institute for Artificial Intelligence (OFAI) and PhD student at the University of Vienna. His research interests are machine learning, data science, bioinformatics, comparative genomics and neuroscience. In one of his current projects he investigates large biological databases in regard to the "curse of dimensionality".

Microbial Genotypes and Phenotypes.- Basics of Machine Learning.- Phenotype Prediction Packages.- A Model for Intracellular Lifestyle.

Erscheinungsdatum	08.10.2016
Reihe/Serie	BestMasters
Zusatzinfo	XIII, 110 p. 29 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Themenwelt	Informatik ► Weitere Themen ► Bioinformatik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie
Schlagworte	Bioinformatics • Biomedical and Life Sciences • classification • Genotype • Mathematical and Computational Biology • Metagenomics • Microbiology • microorganisms
ISBN-10	3-658-14318-5 / 3658143185
ISBN-13	978-3-658-14318-3 / 9783658143183
Zustand	Neuware