MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies

MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies

Abstract Background Microbial longitudinal studies are powerful experimental designs utilized to classify diseases, determine prognosis, and analyze microbial systems dynamics. In longitudinal studies, only identifying differential features between two phenotypes does not provide sufficient informat...

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Bibliographic Details
Main Authors: Ahmed A. Metwally, Jie Yang, Christian Ascoli, Yang Dai, Patricia W. Finn, David L. Perkins
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Microbiome
Subjects:
Metagenomics
Microbiome
Differential abundance
Longitudinal studies
Time series
Smoothing splines
Online Access:http://link.springer.com/article/10.1186/s40168-018-0402-y

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http://link.springer.com/article/10.1186/s40168-018-0402-y

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