Table 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.docx حسب Yuxuan Li (1674307)

Image 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.tif حسب Yuxuan Li (1674307)

Table 5_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 8_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 7_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 4_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 6_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 3_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 2_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 1_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls حسب Ming Xie (420493)

"…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …"

Table 2_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx حسب Jinyu Zheng (734257)

Table 1_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx حسب Jinyu Zheng (734257)

Enrichment analysis and PPI network analysis for key modules. حسب Bei Tian (1319283)

Identification and validation of overlapping genes with potential clinical diagnostic value for CHD. حسب Bei Tian (1319283)

WGCNA analysis. حسب Qingqing Xue (5152622)

Table 1_Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis.xlsx حسب Zhicheng Liao (18193337)

"…Based on expression quantitative trait loci data and the genome-wide association study data of SCLC, MR analysis was used to screen the genes closely related to SCLC disease, which intersect with DEGs to obtain co-expressed genes (CEGs), and the biological functions and pathways of CEGs were further explored by enrichment analysis. …"

Image 2_Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis.pdf حسب Zhicheng Liao (18193337)

"…Based on expression quantitative trait loci data and the genome-wide association study data of SCLC, MR analysis was used to screen the genes closely related to SCLC disease, which intersect with DEGs to obtain co-expressed genes (CEGs), and the biological functions and pathways of CEGs were further explored by enrichment analysis. …"

Image 1_Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis.pdf حسب Zhicheng Liao (18193337)

"…Based on expression quantitative trait loci data and the genome-wide association study data of SCLC, MR analysis was used to screen the genes closely related to SCLC disease, which intersect with DEGs to obtain co-expressed genes (CEGs), and the biological functions and pathways of CEGs were further explored by enrichment analysis. …"

Data Sheet 1_Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation.pdf حسب Juan Yang (384075)

"…The CIBERSORT algorithm was utilized to evaluate immune cell infiltration patterns. …"

Data Sheet 2_Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation.pdf حسب Juan Yang (384075)

"…The CIBERSORT algorithm was utilized to evaluate immune cell infiltration patterns. …"