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Structured Review

Taxon Biosciences taxon level correlation analysis
Taxon Level Correlation Analysis, supplied by Taxon Biosciences, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/correlation+analysis/analyses+level+taxon/pm42117850-78-0-0
Average 86 stars, based on 1 article reviews
taxon level correlation analysis - by Bioz Stars, 2026-11
86/100 stars

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Related Articles

other:

Article Title: Environmental Filtering of Bacterial Communities Driven by Pesticide Residue Profiles in the Almaty Region, Kazakhstan.
Article Snippet: Taxon-level correlation analysis was used as an exploratory descriptive approach, whereas Benjamini–Hochberg false discovery rate correction was applied to the function-level correlation analysis in Section 3.8. https://doi.org/10.3390/biology15090712

Article Title: Environmental Filtering of Bacterial Communities Driven by Pesticide Residue Profiles in the Almaty Region, Kazakhstan
Article Snippet: Taxon-level correlation analysis was used as an exploratory descriptive approach, whereas Benjamini–Hochberg false discovery rate correction was applied to the function-level correlation analysis in .

Functional Assay:

Article Title: Core microbiota with antimonite oxidation coupled nitrogen fixation traits persist in the rhizosphere of pioneer plants in antimony tailings.
Article Snippet: Antimony (Sb) tailings pose a dual challenge to plant colonization, combining high metal(loid) toxicity with nitrogen (N) limitation, both of which constrain pioneer plant establishment and hinder ecological restoration.. Rhizosphere microbiota, particularly Sb(III) oxidation coupled with nitrogen fixation (SbNF) taxa, are critical in mitigating such stresses.. However, the composition and persistence of these functional microbes may vary across plant species, leading to untargeted selection.

Comparison:

Article Title: Dimensional Latent Structure of Early Disruptive Behavior Disorders: A Taxometric Analysis in Preschoolers.
Article Snippet: Although disruptive behavior disorders (DBDs) are used as a distinct categorical diagnosis in clinical practice, they have repeatedly been described as having a dimensional structure in taxometric analyses.. In the current study the authors analyzed the latent status of disruptive behaviors (DB) in a large sample (N = 2,808) of German preschool children (2–6 years old, mean age 53.7 months, SD = 13.5, 48.4% girls).. The Eyberg Child Behavior Inventory (ECBI) as well as the Strengths and Difficulties Questionnaire (SDQ) were used to compile indicators of the DB core dimensions (Temper Loss, Aggression, Noncompliance, and Low Concern for others).



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