parafac4microbiome: exploratory analysis of longitudinal microbiome data using parallel factor analysis
ABSTRACT Studies investigating microbial temporal dynamics are increasingly common, leveraging longitudinal designs that collect microbial abundance data across multiple time points from the same subjects. Traditional exploratory approaches like principal component analysis fail to fully utilize thi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Society for Microbiology
2025-06-01
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| Series: | mSystems |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/msystems.00472-25 |
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