Data Sheet 1_Diagnostic lncRNA biomarkers and immune-related ceRNA networks for osteonecrosis of the femoral head in metabolic syndrome identified by plasma RNA sequencing and mach... by Haoyan Sun (22172911)

“…The MetS dataset from the Gene Expression Omnibus (GEO) was integrated, and weighted gene co-expression network analysis (WGCNA), functional enrichment, protein-protein interaction (PPI) network analysis, MCODE, CytoHubba-MCC, and random forest (RF) algorithms were employed to identify hub mRNAs and their associated lncRNAs. …”

Supplementary file 1_The role of α-hydroxybutyrate in modulating sepsis progression: identification of key targets and biomarkers through multi-database data mining, machine learni... by Qing Lu (28914)

“…Sepsis-related targets were obtained from the GEO dataset GSE26440, and the intersection of these datasets was analyzed to reveal common targets. Functional enrichment analysis, protein-protein interaction (PPI) network construction, and machine learning algorithms (L1-LASSO, RF, and SVM) were applied to identify biomarkers. …”

Image 2_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.jpeg by Ruoya Wang (842048)

“…</p>Methods<p>We conducted a comprehensive multi-omics analysis of PMRG expression profiles in BC. …”

Table 1_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.xlsx by Ruoya Wang (842048)

“…</p>Methods<p>We conducted a comprehensive multi-omics analysis of PMRG expression profiles in BC. …”

Image 3_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.jpeg by Ruoya Wang (842048)

“…</p>Methods<p>We conducted a comprehensive multi-omics analysis of PMRG expression profiles in BC. …”

Table 2_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.xlsx by Ruoya Wang (842048)

“…</p>Methods<p>We conducted a comprehensive multi-omics analysis of PMRG expression profiles in BC. …”

Table 1_Bioinformatics revealed biomarkers for diagnosis in kidney stones.xls by Ziqi He (2507899)

“…Ferroptosis is linked to a variety of renal diseases and is a critical factor in the death of cells. …”

Image 2_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Image 3_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Table 2_Identifying potential biomarkers and molecular mechanisms related to arachidonic acid metabolism in vitiligo.xlsx by Xiaoqing Li (186909)

“…Functional enrichment, immune cell infiltration, and regulatory network analyses were used to elucidate the molecular mechanisms.…”

Image 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Image 4_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Table 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.docx by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Table 2_Bioinformatics revealed biomarkers for diagnosis in kidney stones.xlsx by Ziqi He (2507899)

“…Ferroptosis is linked to a variety of renal diseases and is a critical factor in the death of cells. …”

Table 1_Identifying potential biomarkers and molecular mechanisms related to arachidonic acid metabolism in vitiligo.xlsx by Xiaoqing Li (186909)

“…Functional enrichment, immune cell infiltration, and regulatory network analyses were used to elucidate the molecular mechanisms.…”

Image 5_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. …”

Data Sheet 1_Exploring the molecular mechanisms of phthalates in the comorbidity of preeclampsia and depression by integrating multiple datasets.zip by Xinpeng Tian (646275)

“…Machine learning algorithms were applied to select core diagnostic genes, followed by validation in independent cohorts. …”

Table 3_Identifying potential biomarkers and molecular mechanisms related to arachidonic acid metabolism in vitiligo.xlsx by Xiaoqing Li (186909)

“…Functional enrichment, immune cell infiltration, and regulatory network analyses were used to elucidate the molecular mechanisms.…”

Table 1_Identification and validation of icaritin-associated prognostic genes in hepatocellular carcinoma through network pharmacology, bioinformatics analysis, and cellular experi... by Yaru Shi (2497831)

“…These core intersecting genes were subsequently refined via four complementary machine learning algorithms, KM survival analysis and LASSO Cox regression to establish a prognostic risk score model with predictive value. …”

Table 2_Identification and validation of icaritin-associated prognostic genes in hepatocellular carcinoma through network pharmacology, bioinformatics analysis, and cellular experi... by Yaru Shi (2497831)

“…These core intersecting genes were subsequently refined via four complementary machine learning algorithms, KM survival analysis and LASSO Cox regression to establish a prognostic risk score model with predictive value. …”