Special session "Microbiome Data / Health" @ CIBB 2026

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marta avalos

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Apr 7, 2026, 11:34:48 AMApr 7

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Computational Intelligence Methods for Complex, Compositional, and Longitudinal Microbiome Data in One Health

Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2026 introduces the Special Session “Computational Intelligence Methods for Complex, Compositional, and Longitudinal Microbiome Data in One Health.”

Microbiome data are high-dimensional, compositional, sparse, and dynamic. This session addresses methodological challenges related to normalization strategies, temporal dependence, intra-individual correlation, and ecosystem interaction networks.

The focus is on robust, interpretable, and scalable computational approaches within a One Health perspective, integrating human, animal, and/or environmental microbiome research.

Strengthening microbiome science through advanced computational intelligence.

This Special Session was proposed by Marta Avalos, Simon Labarthe and Cristian Meza.

More info: https://cibb2026.teralab.ai/tracks/special-computational-intelligence-methods-for-complex-compositional-and-longitudinal-microbiome-data-in-one-health/