Table 1_A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.xlsx حسب Su-Zhen Yang (21448877)

"…Twenty machine learning algorithms were evaluated, and the top five algorithms were used to build the final model by stacking.…"

Table 2_A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.xlsx حسب Su-Zhen Yang (21448877)

"…Twenty machine learning algorithms were evaluated, and the top five algorithms were used to build the final model by stacking.…"

Sample ESTIMATE score dataset (AR vs CTRL). حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

STRING PPI network edges dataset. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

Structural changes of the nasal mucosa. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

General symptom scores of the mice. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

Correlated primer sequence table. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

DEG-WGCNA overlapping genes dataset. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

Risk-stratified KEGG pathway enrichment dataset. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

Module-trait correlation heatmap. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

Raw expression profile dataset. حسب MaoMeng Wang (22177417)

"…A gene co-expression network was constructed via the Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm to identify disease-related modules. Differentially expressed genes (DEGs) were identified using the linear models for microarray data (limma) R package (version 3.34.7), followed by functional enrichment analysis using DAVID. …"

A computational-based search of natural product derived multi-target ligands for the management of Alzheimer’s and Parkinson’s disease using structure-based pharmacophore modelling... حسب N. Chhabra (22645522)

"…Additionally, density functional theory (DFT) studies provided insights into the electronic characteristics and reactivity of top hits. …"

Data Sheet 1_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.docx حسب Fangfang Huang (821089)

"…</p>Methods<p>Genome-wide DNA methylation analysis was conducted using peripheral blood samples from children with and without DCD. …"

Data Sheet 2_Epigenetic modifications in developmental coordination disorder: association between DNA methylation and motor performance.xlsx حسب Fangfang Huang (821089)

"…</p>Methods<p>Genome-wide DNA methylation analysis was conducted using peripheral blood samples from children with and without DCD. …"

Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS events حسب Sen Lin (182597)

"…We found that the most frequent side effects were low blood pressure, worsening kidney function (including acute kidney injury), and high potassium levels. …"

Supplementary file 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and... حسب Zhifei Zhao (4014386)

"…This tool may assist clinicians in making timely surgical decisions to preserve ovarian function in children.</p>…"

Table 1_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and ischemic necr... حسب Zhifei Zhao (4014386)

"…This tool may assist clinicians in making timely surgical decisions to preserve ovarian function in children.</p>…"

Supplementary file 2_Construction and validation of a machine learning model integrating ultrasound features and inflammatory markers (OVART-ML) for predicting ovarian torsion and... حسب Zhifei Zhao (4014386)

"…This tool may assist clinicians in making timely surgical decisions to preserve ovarian function in children.</p>…"

Data Sheet 1_Development of machine learning models for predicting postoperative hyperglycemia in non-diabetic gastric cancer patients: a retrospective cohort study analysis.pdf حسب Nan Wang (21935)

"…Nine machine learning algorithms, including Support Vector Machine with a radial basis function kernel (SVM-radial), Random Forest, XGBoost, and Logistic Regression, were developed and compared. …"

Bioinformatics-based screening and experimental validation of biomarkers for the treatment of connective tissue-associated interstitial lung disease with liquorice and dried ginger... حسب Hui Yuan (402180)

"…</p> <p>Public datasets of Peripheral blood mononuclear cells (PBMCs) from CTD-ILD (n = 4) and connective tissue disease-associated non-Inflammatory lung disease (CTD-NILD) (n = 3) patients were analyzed using differential expression (p.adj < 0.05 & |log2 Fold Change (FC)| > 0.5), protein-protein interaction networks, and cytohubba algorithms (Top5 genes from six algorithms). …"