This invention belongs to the field of multi-
omics data integration technology. It discloses a
system for screening multiple
disease biomarkers from the gut microbiota
metabolome. The
system performs batch-to-batch drift correction based on the comparison values of internal reference metabolites on metabolomic
mass spectrometry data from multiple
disease and
healthy control groups. Then, it calculates the covariant
stability index between metabolites and microbial species, and constructs a constrained
metabolite association network by combining
metabolic pathway topological distance. Based on this, the
system integrates pathway constraint betweenness centrality and
disease effect size to calculate network-enhanced
discriminant scores, performs
dimensionality reduction according to the principle of maximum coverage and minimum redundancy, and simultaneously evaluates the stability
baseline values of biomarker-related ecological functional modules. Finally, using
ecological stability as a constraint, the system optimizes the discriminative power of multiple diseases through marginal contribution evaluation, outputting a balanced and efficient
biomarker panel. This invention achieves systematic integration of
microbiome and
metabolome data, providing a reliable tool for the accurate diagnosis of digestive system diseases.