Back to search

Article

GAN-GMHI: Generative Adversarial Network for high discrimination power in microbiome-based disease prediction

2021-07-23

Abstract excerpt

Gut microbiome-based health index (GMHI) has been applied with success, while the discrimination powers of GMHI varied for different diseases, limiting its utility on a broad-spectrum of diseases. In this work, a generative adversarial network (GAN) model is proposed to improve the discrimination power of GMHI. Built based on the batch corrected data through GAN, GAN-GMHI has largely reduced the batch effects, and...

Topics

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

Identifiers and source

Literature Corpus work
c5e78896-1478-5f3b-886c-e66b84b15b54
DOI
10.1101/2021.07.23.453477
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.
GAN-GMHI: Generative Adversarial Network for high discrimination power in microbiome-based disease predictionDOI 10.1101/2021.07.23.453477
Select a neighboring publication to make it the new centre.