STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks

Issam Khelfaoui, Wenxin Wang, Akram Ismael Shehata, Hicham Meskher, Mohammed F. El Basuini, Abdalla M. A. Mohamed, Mohamed F. Abouelenein, Houssem Eddine Degha, Mayada Alhoshy, Islam I. Teiba, Omnia Mahmoud, Seedahmed S. Mahmoud

Open source

DOI
10.3389/fmicb.2026.1705116
Published
2026-03-25
Container
Frontiers in Microbiology
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fmicb.2026.1705116,
  title = {STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks},
  author = {Issam Khelfaoui and Wenxin Wang and Akram Ismael Shehata and Hicham Meskher and Mohammed F. El Basuini and Abdalla M. A. Mohamed and Mohamed F. Abouelenein and Houssem Eddine Degha and Mayada Alhoshy and Islam I. Teiba and Omnia Mahmoud and Seedahmed S. Mahmoud},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1705116},
  url = {https://doi.org/10.3389/fmicb.2026.1705116}
}

RIS

TY  - JOUR
TI  - STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks
AU  - Issam Khelfaoui
AU  - Wenxin Wang
AU  - Akram Ismael Shehata
AU  - Hicham Meskher
AU  - Mohammed F. El Basuini
AU  - Abdalla M. A. Mohamed
AU  - Mohamed F. Abouelenein
AU  - Houssem Eddine Degha
AU  - Mayada Alhoshy
AU  - Islam I. Teiba
AU  - Omnia Mahmoud
AU  - Seedahmed S. Mahmoud
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1705116
UR  - https://doi.org/10.3389/fmicb.2026.1705116
ER  - 

APA

Khelfaoui, I., Wang, W., Shehata, A. I., Meskher, H., Basuini, M. F. E., Mohamed, A. M. A., Abouelenein, M. F., Degha, H. E., Alhoshy, M., Teiba, I. I., Mahmoud, O., & Mahmoud, S. S. (2026). STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1705116

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