Articoli correlati a Machine Learning for Microbial Phenotype Prediction

Machine Learning for Microbial Phenotype Prediction - Brossura

Libro 33 di 91: BestMasters

Feldbauer, Roman

 
9783658143183: Machine Learning for Microbial Phenotype Prediction
Brossura
ISBN 10: 3658143185 ISBN 13: 9783658143183
Casa editrice: Springer Spektrum, 2016

Sinossi

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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Informazioni sull'autore

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“.

Dalla quarta di copertina

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 . 

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

    Editore
    Springer Spektrum
    Data di pubblicazione
    2016
    Lingua
    Inglese
    ISBN 10 
    3658143185
    ISBN 13 
    9783658143183
    Rilegatura
    Copertina flessibile
    Numero edizione
    1
    Numero di pagine
    124
    Contatto del produttore
    non disponibile
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