Clinical Nuclear Medicine in Neurology 2021
DOI: 10.1007/978-3-030-83598-9_20
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Case 20: Autoimmune Encephalitis with Unusual Antibodies

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“…Kruskal‐Wallis rank sum test for the differences in alpha diversity among more than two different sampling stations and habitat types, their pairwise comparisons using the Wilcoxon rank sum test with p ‐values adjusted by the Bonferroni method, and PERMANOVA for the differences in beta diversity among more than two sampling stations or types were performed using the R package “vegan” (Dixon, 2003 ). When beta diversity of two sampling stations or habitant types were compared, pairwise PERMANOVA test with p ‐values adjusted by the Holm method was performed using “pairwiseAdonis” package ( https://github.com/pmartinezarbizu/pairwiseAdonis ) (Arbizu, 2021 ). Significant differences between different habitats (nodule, nodule‐surface muds, sediment, bottom water and water column) in terms of relative ASV abundance were determined by linear discriminant analysis (LDA) effect size (LefSe, Segata et al, 2011 ) with default cut‐off parameters (LDA >2.0, p < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Kruskal‐Wallis rank sum test for the differences in alpha diversity among more than two different sampling stations and habitat types, their pairwise comparisons using the Wilcoxon rank sum test with p ‐values adjusted by the Bonferroni method, and PERMANOVA for the differences in beta diversity among more than two sampling stations or types were performed using the R package “vegan” (Dixon, 2003 ). When beta diversity of two sampling stations or habitant types were compared, pairwise PERMANOVA test with p ‐values adjusted by the Holm method was performed using “pairwiseAdonis” package ( https://github.com/pmartinezarbizu/pairwiseAdonis ) (Arbizu, 2021 ). Significant differences between different habitats (nodule, nodule‐surface muds, sediment, bottom water and water column) in terms of relative ASV abundance were determined by linear discriminant analysis (LDA) effect size (LefSe, Segata et al, 2011 ) with default cut‐off parameters (LDA >2.0, p < 0.05).…”
Section: Methodsmentioning
confidence: 99%