A neural network‐based framework to understand the type 2 diabetes‐related alteration of the human gut microbiome

A neural network‐based framework to understand the type 2 diabetes‐related alteration of the human gut microbiome

Abstract The identification of microbial markers adequate to delineate the disease‐related microbiome alterations from the complex human gut microbiota is of great interest. Here, we develop a framework combining neural network (NN) and random forest, resulting in 40 marker species and 90 marker gen...

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Bibliographic Details
Main Authors: Shun Guo, Haoran Zhang, Yunmeng Chu, Qingshan Jiang, Yingfei Ma
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:iMeta
Subjects:
human gut microbiota
neural network
random forest
T2D‐related microbial markers
Online Access:https://doi.org/10.1002/imt2.20

Internet

https://doi.org/10.1002/imt2.20

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