Table 9_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.xlsx حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Image 5_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Table 11_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Image 7_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Image 3_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.jpeg حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Table 10_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv حسب Jiafeng Peng (22116253)

"…Subsequently, nomograms, functional enrichment analyses, immune infiltration analyses, regulatory network construction, drug prediction, and molecular docking were performed to characterize the functional and clinical significance of the biomarkers. …"

Data Sheet 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.pdf حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Table 4_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Table 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Image 1_Immune-molecular nexus in reproductive disorders: mechanisms linking POI and RSA.pdf حسب Chen Chen (6544)

"…The analysis involved machine learning algorithms, mcode and Cytoscape, revealing important hub genes. …"

Data Sheet 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.pdf حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Supplementary file 1_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Table 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Supplementary file 2_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

Table 3_Novel diagnostic biomarkers associated with macrophage-microglia in spinal cord injury.xlsx حسب Manyi Zheng (22221913)

"…Predictive models based on these genes demonstrated strong performance in both internal training and external validation cohorts. …"

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

"…Three machine learning algorithms—Random Forest, LASSO, and SVM-RFE—were applied to identify key hub genes. …"

Supplementary file 1_Probiotic modulation of maternal gut and milk microbiota and potential implications for infant microbial development in the perinatal period.docx حسب Kian Deng Tye (14200517)

"…However, LEfSe revealed distinct genera in both maternal gut and milk microbiota linked to probiotic intake. …"

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

"…Three machine learning algorithms—Random Forest, LASSO, and SVM-RFE—were applied to identify key hub genes. …"

Table 2_Comprehensive analysis of immunogenic cell death-related genes in liver ischemia-reperfusion injury.xlsx حسب Kai Lu (166354)

"…The RF and SVM machine learning algorithms were finally chosen to construct the models. …"

Supplementary file 1_Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy.xlsx حسب Feng Zhang (6548)

"…A predictive model for HCM was developed through systematic evaluation of 113 combinations of 12 machine-learning algorithms, employing 10-fold cross-validation on training datasets and external validation using an independent cohort (GSE180313).…"