Machine Learning for Microbial Phenotype Prediction

• Κύριος συγγραφέας: Feldbauer, Roman (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.
• Σειρά: BestMasters
• Θέματα: Life sciences.; Bioinformatics.; Microbiology.; Biomathematics.; Life Sciences.; Mathematical and Computational Biology.

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...

Πίνακας περιεχομένων:

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