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

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 information to d...

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Detalles Bibliográficos
Autores principales:	Metwally, Ahmed A., Yang, Jie, Ascoli, Christian, Dai, Yang, Finn, Patricia W., Perkins, David L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Software
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812052/ https://www.ncbi.nlm.nih.gov/pubmed/29439731 http://dx.doi.org/10.1186/s40168-018-0402-y

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