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Frontiers in Microbiology|February 6, 2025
Deep learning in microbiome analysis: a comprehensive review of neural network modelsPiotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, et al.Frontiers in Microbiology|March 19, 2021
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and TreatmentLaura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, Tatjana Loncar Turukalo, et al.Frontiers in Microbiology|March 11, 2021
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and SolutionsIsabel Moreno-Indias, Leo Lahti, Miroslava Nedyalkova, et al.Frontiers in Microbiology|October 9, 2023
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST actionDomenica D'Elia, Jaak Truu, Leo Lahti, et al.Frontiers in Microbiology|December 11, 2023
A toolbox of machine learning software to support microbiome analysisLaura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, et al.Pageof 1