Machine Learning for Microbial Phenotype Prediction (BestMasters) - Tapa blanda

Libro 33 de 91: BestMasters

Feldbauer, Roman

 
9783658143183: Machine Learning for Microbial Phenotype Prediction (BestMasters)
Tapa blanda
ISBN 10: 3658143185 ISBN 13: 9783658143183
Editorial: Springer Spektrum, 2016

Sinopsis

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.

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Acerca del autor

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“.

De la contraportada

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. 

Contents
  • Microbial Genotypes and Phenotypes
  • Basics of Machine Learning
  • Phenotype Prediction Packages
  • A Model for Intracellular Lifestyle
Target Groups 
  • Teachers and students in the fields of bioinformatics, molecular biology and microbiology
  • Executives and specialists in the field of microbiology, computational biology and machine learning
    • About the Author
    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 . 

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    Editorial
    Springer Spektrum
    Año de publicación
    2016
    Idioma
    Inglés
    ISBN 10 
    3658143185
    ISBN 13 
    9783658143183
    Encuadernación
    Tapa blanda
    Número de edición
    1
    Número de páginas
    124
    Contacto del fabricante
    no disponible
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    ProductSafety@springernature.com
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