MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks

MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks

Abstract Background Microbiome profiles in the human body and environment niches have become publicly available due to recent advances in high-throughput sequencing technologies. Indeed, recent studies have already identified different microbiome profiles in healthy and sick individuals for a variet...

Full description

Bibliographic Details
Main Authors: Chieh Lo, Radu Marculescu
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Metagenomics
Neural networks
Host phenotypes
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12859-019-2833-2

Internet

http://link.springer.com/article/10.1186/s12859-019-2833-2

Similar Items