Article
Biologically Informed Graph Contrastive Learning for Microbiome Data Analysis: A Survey
2026-06-08
Abstract excerpt
The human microbiome is a complex, dynamic and highly structured ecosystem whose analysis requires computational methods able to capture relationships among microbial taxa, genes, metabolic pathways, host factors, environmental exposures and disease phenotypes. Conventional machine-learning pipelines often represent microbiome samples as independent high-dimensional abundance vectors, thereby neglecting ecological...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- dad07c47-73d2-5eca-8366-6dead054435b
- DOI
- 10.20944/preprints202606.0621.v1
