Table_2_Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking.xlsx حسب Xinyi Jiang (1976353)

"…</p>Methods<p>GSE42148, GSE180081, and GSE12288 were downloaded as the training and validation cohorts to identify the candidate genes by constructing the weighted gene co-expression network analysis. Functional enrichment analysis was utilized to determine the functional roles of these genes. …"

Table_3_Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking.xlsx حسب Xinyi Jiang (1976353)

"…</p>Methods<p>GSE42148, GSE180081, and GSE12288 were downloaded as the training and validation cohorts to identify the candidate genes by constructing the weighted gene co-expression network analysis. Functional enrichment analysis was utilized to determine the functional roles of these genes. …"

Table_1_Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking.xlsx حسب Xinyi Jiang (1976353)

"…</p>Methods<p>GSE42148, GSE180081, and GSE12288 were downloaded as the training and validation cohorts to identify the candidate genes by constructing the weighted gene co-expression network analysis. Functional enrichment analysis was utilized to determine the functional roles of these genes. …"

Image_2_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg حسب Le Liu (167133)

"…Subsequently, gene-set enrichment analysis (GSEA), gene set variation analysis (GSVA), and CIBERSORT assessed the variations in the enrichment of gene function and the abundance of immune cell infiltration and immune functions across these clusters. …"

Image_3_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg حسب Le Liu (167133)

"…Subsequently, gene-set enrichment analysis (GSEA), gene set variation analysis (GSVA), and CIBERSORT assessed the variations in the enrichment of gene function and the abundance of immune cell infiltration and immune functions across these clusters. …"

Image_1_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg حسب Le Liu (167133)

"…Subsequently, gene-set enrichment analysis (GSEA), gene set variation analysis (GSVA), and CIBERSORT assessed the variations in the enrichment of gene function and the abundance of immune cell infiltration and immune functions across these clusters. …"

DataSheet_1_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.zip حسب Le Liu (167133)

"…Subsequently, gene-set enrichment analysis (GSEA), gene set variation analysis (GSVA), and CIBERSORT assessed the variations in the enrichment of gene function and the abundance of immune cell infiltration and immune functions across these clusters. …"

PROTOCOL - Effects of Ashwagandha (Withania somnifera) on Physical Performance: Systematic Review and Bayesian Meta-Analysis حسب Diego A. Bonilla (9086201)

"…Discrepancies will be identified and resolved through discussion (with a third author where necessary). The figures to summarize the results of the risk of bias assessment will be developed using the Risk-of-bias VISualization package (<i>robvis</i>) [22]. …"

Additional data for the polyanion sodium cathode materials dataset حسب Martin Hoffmann Petersen (13626778)

"…The Perdew-Burke-Ernzerhof (PBE) functional with Hubbard-U corrections were appliedwas utilized for all calculations. …"

Data Sheet 1_Exploring the shared gene signatures and mechanism among three autoimmune diseases by bulk RNA sequencing integrated with single-cell RNA sequencing analysis.docx حسب Xiaofang Liu (398453)

"…</p>Methods<p>We retrieved transcriptomic data of MS, SLE, and RA patients from public databases. Weighted Gene Co-Expression Network Analysis (WGCNA) was employed to construct gene co-expression networks and identify disease-associated modules. …"

Image 7_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 5_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 3_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 6_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 4_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 1_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

Image 2_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Differentially expressed genes (DEGs) were identified using linear models with empirical Bayes moderation (limma R package, version 3.65.7), and weighted gene co-expression network analysis (WGCNA) was applied via the WGCNA R package (version 1.73) to detect co-expressed gene modules. …"

DataSheet1_Construction and Comprehensive Analysis of a circRNA-miRNA-mRNA Regulatory Network to Reveal the Pathogenesis of Hepatocellular Carcinoma.XLSX حسب Meile Mo (10580034)

"…</p><p>Methods: The robust rank aggregation (RRA) algorithm and weighted gene co-expression network analysis (WGCNA) were conducted to unearth the differentially expressed circRNAs (DEcircRNAs) in HCC. …"

Image1_Construction and Comprehensive Analysis of a circRNA-miRNA-mRNA Regulatory Network to Reveal the Pathogenesis of Hepatocellular Carcinoma.TIF حسب Meile Mo (10580034)

"…</p><p>Methods: The robust rank aggregation (RRA) algorithm and weighted gene co-expression network analysis (WGCNA) were conducted to unearth the differentially expressed circRNAs (DEcircRNAs) in HCC. …"

Image2_Construction and Comprehensive Analysis of a circRNA-miRNA-mRNA Regulatory Network to Reveal the Pathogenesis of Hepatocellular Carcinoma.TIF حسب Meile Mo (10580034)

"…</p><p>Methods: The robust rank aggregation (RRA) algorithm and weighted gene co-expression network analysis (WGCNA) were conducted to unearth the differentially expressed circRNAs (DEcircRNAs) in HCC. …"