Back to search

Article

An Embeddings Fusion Approach Predicts Disease State from Microbiome Features

2026-04-23

Abstract excerpt

<h4>Background</h4> Deep neural networks are a proven technique for working with high dimensional data because of their ability to draw-out meaningful patterns and create vector representations known as “embeddings”, which make it easier to work with learning tasks on large inputs as they capture the semantics and variance of the data. Microbial community abundance profiles are well suited for an embeddings appro...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ca7e8dbf-bf83-5069-84a8-d61ac97f005d
DOI
10.64898/2026.04.20.719747
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.
An Embeddings Fusion Approach Predicts Disease State from Microbiome FeaturesDOI 10.64898/2026.04.20.719747
Select a neighboring publication to make it the new centre.