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本文引用的文献
1
Testing microbiome associations with survival times at both the community and individual taxon levels.
PLoS Comput Biol. 2022 Sep 14;18(9):e1010509. doi: 10.1371/journal.pcbi.1010509. eCollection 2022 Sep.
2
Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data.
Microbiome. 2021 Jun 9;9(1):133. doi: 10.1186/s40168-021-01034-9.
3
A rarefaction-based extension of the LDM for testing presence-absence associations in the microbiome.
Bioinformatics. 2021 Jul 19;37(12):1652-1657. doi: 10.1093/bioinformatics/btab012.
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Cauchy combination test: a powerful test with analytic -value calculation under arbitrary dependency structures.
J Am Stat Assoc. 2020;115(529):393-402. doi: 10.1080/01621459.2018.1554485. Epub 2019 Apr 25.
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Testing hypotheses about the microbiome using the linear decomposition model (LDM).
Bioinformatics. 2020 Aug 15;36(14):4106-4115. doi: 10.1093/bioinformatics/btaa260.
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The harmonic mean -value for combining dependent tests.
Proc Natl Acad Sci U S A. 2019 Jan 22;116(4):1195-1200. doi: 10.1073/pnas.1814092116. Epub 2019 Jan 4.
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PERMANOVA-S: association test for microbial community composition that accommodates confounders and multiple distances.
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Sequential Monte Carlo multiple testing.
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Disordered microbial communities in the upper respiratory tract of cigarette smokers.
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