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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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| Publicado no: | Microbiome |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5812052/ https://ncbi.nlm.nih.gov/pubmed/29439731 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40168-018-0402-y |
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