Back to search

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
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Biologically Informed Graph Contrastive Learning for Microbiome Data Analysis: A SurveyDOI 10.20944/preprints202606.0621.v1
Select a neighboring publication to make it the new centre.