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An Optimised Computational Framework for Cross-Cohort Metagenomic Classification Using P-Value Statistical Filtering Cover

An Optimised Computational Framework for Cross-Cohort Metagenomic Classification Using P-Value Statistical Filtering

Applied Computer Systems
Volume 31 (2026): Issue 1 (January 2026)
By:  and    
Open Access
|Jul 2026
Articles in this issue
DOI: https://doi.org/10.2478/acss-2026-0013 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 155 - 165
Submitted on: Apr 7, 2026
Accepted on: May 26, 2026
Published on: Jul 2, 2026
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Disease prediction,
feature selection,
machine learning,
metagenomic data,
T-test
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2026 Hien Thanh Thi Nguyen, Hai Thanh Nguyen, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 31 (2026): Issue 1 (January 2026)
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