Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data

Research article (Molecular Ecology Resources, 2019) · cited 65× · AI/ML
Press Enter · cited answer in seconds

Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data

Summary

Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data is a scholarly article[1].

Key Facts

  • Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data. Retrieved May 24, 2026, from https://4ort.xyz/entity/dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data
MLA “Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data.
BibTeX @misc{4ortxyz_dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data}}, year = {2026}, url = {https://4ort.xyz/entity/dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data — https://4ort.xyz/entity/dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/dirichletmultinomial-modelling-outperforms-alternatives-for-analysis-of-microbiome-and-other-ecological-count-data · Last refreshed: