MTA-package: Microbial Trend Analysis for Common Dynamic Trend, Group...
In chanw0/MTA: Microbial Trend Analysis for Common Dynamic Trend, Group Comparison, and Classification in Longitudinal Microbiome Study
Description
Details
Author(s)
References
Description
Microbial trend analysis (MTA) framework is an attractive and effective tool in investigating the dynamic microbial pattern in the longitudinal microbiome study. In particular, MTA can perform three tasks: 1) MTA can capture the common and major community level microbial dynamic trends for a given group of subjects and identify the dominant taxa; 2) MTA can examine whether the microbial overall dynamic trends are significantly different or not in groups; 3) MTA can classify a given subject based on its longitudinal microbial profiling. Both simulations and real data applications showed that MTA framework is robust and powerful in hypothesis testing, taxon identification, and subject classification.
Details
Package: MTA
Type: Package
Version: 1.0
Date: 2021-07-06
License: GPL (>= 2)
Author(s)
Chan Wang, Jiyuan Hu, Martin J. Blaser, Huilin Li.
Maintainer: Chan Wang <Chan.Wang@nyulangone.org>, Huilin Li <Huilin.Li@nyulangone.org>
References
Wang C, Hu J, Blaser M J, Li H (2021). Microbial Trend Analysis for Common Dynamic Trend, Group Comparison, and Classification in Longitudinal Microbiome Study.
chanw0/MTA documentation built on July 11, 2021, 7:49 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details Author(s) References
Description
Microbial trend analysis (MTA) framework is an attractive and effective tool in investigating the dynamic microbial pattern in the longitudinal microbiome study. In particular, MTA can perform three tasks: 1) MTA can capture the common and major community level microbial dynamic trends for a given group of subjects and identify the dominant taxa; 2) MTA can examine whether the microbial overall dynamic trends are significantly different or not in groups; 3) MTA can classify a given subject based on its longitudinal microbial profiling. Both simulations and real data applications showed that MTA framework is robust and powerful in hypothesis testing, taxon identification, and subject classification.
Details
| Package: | MTA |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2021-07-06 |
| License: | GPL (>= 2) |
Author(s)
Chan Wang, Jiyuan Hu, Martin J. Blaser, Huilin Li.
Maintainer: Chan Wang <Chan.Wang@nyulangone.org>, Huilin Li <Huilin.Li@nyulangone.org>
References
Wang C, Hu J, Blaser M J, Li H (2021). Microbial Trend Analysis for Common Dynamic Trend, Group Comparison, and Classification in Longitudinal Microbiome Study.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.