Machine learning-derived gut microbiome signature predicts fatty liver disease in the presence of insulin resistance
Abstract A simple predictive biomarker for fatty liver disease is required for individuals with insulin resistance. Here, we developed a supervised machine learning-based classifier for fatty liver disease using fecal 16S rDNA sequencing data. Based on the Kangbuk Samsung Hospital cohort (n = 777),...
Main Authors: | Baeki E. Kang, Aron Park, Hyekyung Yang, Yunju Jo, Tae Gyu Oh, Seung Min Jeong, Yosep Ji, Hyung‐Lae Kim, Han‐Na Kim, Johan Auwerx, Seungyoon Nam, Cheol-Young Park, Dongryeol Ryu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-26102-4 |
Similar Items
-
L-threonine promotes healthspan by expediting ferritin-dependent ferroptosis inhibition in C. elegans
by: Juewon Kim, et al.
Published: (2022-11-01) -
miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes
by: Aron Park, et al.
Published: (2023-08-01) -
Deep learning for stage prediction in neuroblastoma using gene expression data
by: Aron Park, et al.
Published: (2019-09-01) -
Comparative Transcriptome Profiling of Young and Old Brown Adipose Tissue Thermogenesis
by: Yumin Kim, et al.
Published: (2021-12-01) -
A performance evaluation of drug response prediction models for individual drugs
by: Aron Park, et al.
Published: (2023-07-01)