A-B. Expression of IRF4 and ELANE in MDS - Indicates that compared to the normal control group, the expression levels of both in the MDS disease group show significant reductions at different levels (P < 0.001), suggesting that the reduction in their activity may affect the mechanism or progression of the disease.

<p>C-D. The ROC curve illustrates the significance of genes related to MDS. In the ROC curve analysis, the significant AUC of the IRF4 gene is 0.938, and the significant AUC of the ELANE gene is 0.791.</p>

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Bibliographic Details
Main Author:	Min-xiao Wang (20868922) (author)
Other Authors:	Chang-sheng Liao (18591969) (author), Xue-qin Wei (20868925) (author), Yu-qin Xie (20868928) (author), Peng-fei Han (694841) (author), Yan-hui Yu (20868931) (author)
Published:	2025
Subjects:	Cell Biology Genetics Molecular Biology Marine Biology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified targeted interventions directed svm )&# 8212 support vector machine may also guide hematopoietic stem cells exploring therapeutic strategies downloaded three datasets core predictive models provide new insights revealed significant differences results independently using ensure data consistency differentially expressed genes provide novel insights xlink "> initially study sheds light performed differential analysis enhance prediction accuracy clinical treatment strategies two key genes key pathogenic genes differential gene expression xlink "> key genes significant changes prediction results novel perspective gene groups data preprocessing expression levels expression analysis identify genes genes associated findings provide validation set ultimate goal training sets training set thereby integrating study aims robust list random forest pathological process particular focus notably downregulated myelodysplastic syndromes mechanisms underlying lasso regression gse19429 dataset figure illustrates enrichment analysis effective treatments disease initiation disease features disease diagnosis disease characteristics depth analysis delve deeper control group comprehensive evaluation combat algorithm bioinformatics analysis analysis workflow
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