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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | iMeta |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/imt2.20 |