Beyond single markers: bacterial synergies identified by Multidimensional Feature Selection reveal conserved microbiome disease signatures

Multidimensional Feature Selection identifies 80,790 synergistic taxa–function pairs across eight gut microbiome disease datasets, capturing co-occurrence signals that individual features miss.

• Why it matters: Univariate metagenomic analyses evaluate taxa and functions in isolation, overlooking combinatorial co-occurrence patterns that may better reflect disease-linked microbiome organization.
• What they did: The framework detects synergistic feature pairs where combined presence increases information, validated on colorectal cancer cohorts using leave-one-cohort-out cross-validation (AUC = 0.84 vs 0.85).
• The result: Synergistic pairs are repeatedly selected and show consistent case–control effect size differences, and across additional diseases they yield candidate recurring markers and more disease-status information than single constituents.

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