Author

Tibor Schuster

McGill UniversityORCID 0000-0002-3620-3526Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Albina Tskhay· 1 shared Alibek MoldakozhayeviD· 1 shared Celia M.T. GreenwoodiD· 1 shared Cristina LongoiD· 1 shared Nia KangiD· 1 shared Roxana Behruzi· 1 shared Stan J. KubowiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperScientific Communication & Education

Albina Tskhay

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1 paper

Recent·Most cited

Causal Language Detection using Text-Document Features: Methodology and Insights from 10 Years of Gut Microbiome Research

Albina Tskhay, Cristina Longo, Alibek Moldakozhayev, Nia Kang, Celia M.T. Greenwood, Roxana Behruzi, Stan J. Kubow, Tibor Schuster

This paper evaluates classifiers for detecting causal language in scientific abstracts and applies the best model to analyze trends in microbiome research from 2015 to 2025.

bioRxiv · Mar 4, 2026 · PreprintScientific Communication & Education