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Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co-expression network analysis and machine-learning algorithms

2022-06-09

Abstract excerpt

<h4>Objective: </h4> The present study was designed to identify potential diagnostic markers for diabetic kidney disease (DKD). <h4>Methods: </h4>: One publicly available gene expression profile (GSE142153 dataset) from human DKD and control samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened between 23 DKD and 10 control samples. Weighted gene co-expression network a...

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Literature Corpus work
017c9a8e-c240-5f69-b5a5-c211cb5c5e06
DOI
10.21203/rs.3.rs-1696152/v1
Open publication

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Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co-expression network analysis and machine-learning algorithmsDOI 10.21203/rs.3.rs-1696152/v1
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