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We used Linear Discriminant Effect Size (LEfSe) analysis to identify fungal genera that consistently indicate disturbed or undisturbed (control) treatments across 5- and 12-month sampling times.
Indeed, the presence of a specific context generally does not affect the correctness of the emotional label attribution, but it produces a discriminant effect exclusively for one emotion, that is disgust.
Using the linear discriminant effect size method (LEfSe, see 'Materials and methods') (Segata et al., 2011) to compare detected clades (33 families, 177 genera, 996 OTUs) among all groups, we found a positive association of two specific Prevotella OTUs with NORA and an inverse correlation with Group XIV Clostridia, Lachnospiraceae, and Bacteroides as compared to healthy controls.
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We conducted a univariate test for associations between colitis status and the 102 microbial modules using linear discriminant analysis effect size (LEfSe) analysis.
Linear discriminant analysis effect size (LEfSe) analyses showed many different taxa between CTR and IMO, of which the abundance of relative beneficial bacteria including Streptococcaceae and Collinsella was increased by IMO supplementation (P < 0.05).
least discriminant analysis effect size.
linear discriminant analysis effect size pipeline.
Least discriminant analysis effect size (LEfSE) was used to identify the key phylotypes responsible for the differences among NF, F_1 and F_3 (Fig. 6).
The linear discriminant analysis effect size (LEfSe) was employed to identify specific genus that were differentially distributed between wild and captive takins.
To identify biomarkers between different samples, LEfSe (Linear discriminant analysis Effect Size) (https://huttenhower.sph.harvard.edu/galaxy/) analysis was performed using online software.
Linear discriminant analysis effect size and indicator analysis identified a small number of genera that were over-represented in, or defining characteristics of, Day 14 samples.
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