Foundations by John Groves

Foundations by John Groves

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 AuthorRoman 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.

SKU	Unavailable
ISBN 13	9780981480305
ISBN 10	0981480306
Title	Foundations
Author	John Groves
Condition	Unavailable
Binding Type	Paperback
Publisher	Newfrontiers-USA
Year published	2008-01-29
Number of pages	100
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.