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Machine Learning for Microbial Phenotype Prediction (BestMasters) - Softcover

Book 33 of 91: BestMasters

Feldbauer, Roman

 
9783658143183: Machine Learning for Microbial Phenotype Prediction (BestMasters)
Softcover
ISBN 10: 3658143185 ISBN 13: 9783658143183
Publisher: Springer Spektrum, 2016

Synopsis

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.

"synopsis" may belong to another edition of this title.

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“.

From the Back Cover

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“. 

    "About this title" may belong to another edition of this title.

    Publisher
    Springer Spektrum
    Publication date
    2016
    Language
    English
    ISBN 10 
    3658143185
    ISBN 13 
    9783658143183
    Binding
    Paperback
    Edition number
    1
    Number of pages
    123