Additional file 1: of A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems

Supplementary Figures, Tables, and Methods. (DOCX 993 kb

Left Atrial Appendage Volume Predicts Atrial Fibrillation Recurrence after Radiofrequency Catheter Ablation: A Meta-Analysis

Abstract Background The influence of left atrial appendage volume (LAAV) on the recurrence of atrial fibrillation (AF) following radiofrequency catheter ablation remains unclear. Objectives We performed a meta-analysis to assess whether LAAV is an independent predictor of AF recurrence following radiofrequency catheter ablation. Methods The PubMed and the Cochrane Library databases were searched until March 2022 to identify publications evaluating LAAV in association with AF recurrence after radiofrequency catheter ablation. Seven studies that fulfilled the specified criteria of our analysis were found. We used the Newcastle-Ottawa Scale to evaluate the quality of the studies. The pooled effects were evaluated depending on standardized mean differences (SMDs) or hazard ratios (HRs) with 95% confidence intervals (CIs). P values </p

Additional file 1 of Salivary microbiome and metabolome analysis of severe early childhood caries

Additional file 1. 16S rRNA Gene Sequencing

Additional file 4 of Salivary microbiome and metabolome analysis of severe early childhood caries

Additional file 4. Fig. S3. OPLS-DA 200 permutation testing. The R2Y(cum) and Q2(cum) results were (0.292, 0.131). The calculated R2X and R2Y(cum) estimates the goodness of fit of the model; Q2(cum) estimates the ability of prediction. For OPLS-DA, the permutation analysis between one predictive(p1) and three orthogonal (o1, o2, and o3) components produced the observed and cross-validated R2X, R2Y, and Q2 coefficients

Additional file 3 of Salivary microbiome and metabolome analysis of severe early childhood caries

Additional file 3: Fig. S2. The random forest model was constructed for the genus taxonomic level (a). Comparison of model performance of random forests with different numbers of species, with the largest ROC values obtained for the 20 species selected (b). The AUC (Area Under Curve) is defined as the area under the ROC curve. Typically, it has a value between 1.0 and 0.5. For AUC > 0.5, the closer the AUC is to 1, the better the classification prediction is

Additional file 2 of Salivary microbiome and metabolome analysis of severe early childhood caries

Additional file 2: Fig. S1. Taxon abundances at the phylum levels were compared between the SECC and CF groups using Metastats

Additional file 5 of Salivary microbiome and metabolome analysis of severe early childhood caries

Additional file 5. Fig. S4. Correlations between microbiota (phylum level) and metabolites in saliva. Each row and column in the graph represents a metabolite and phylum, respectively, while each lattice represents a correlation coefficient between a component and a metabolite. Red and blue represent positive and negative correlations, respectively. * indicates a significant correlation between the phyla and metabolites (*p < 0.05, **p < 0.01)

Additional file 5 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Additional file 5: Supplemental table 5. HCC associated clinicalcharacteristics of CyTOF analysis cohort

Additional file 2 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Additional file 2: Supplemental table 2. The clinicalcharacteristics of enrolled patients for CyToF analysis

Additional file 9 of Single-cell analysis reveals HBV-specific PD-1+CD8+ TRM cells in tumor borders are associated with HBV-related hepatic damage and fibrosis in HCC patients

Additional file 9: FigureS2. The clinical-related immunealterations in TB tissues. (A) Comparisons of the frequencies of selectedmeta-clusters between INT and TB tissues. (B) The heatmap of the comparisons ofmeta-cluster frequencies across patients grouped by defined clinical featuresin TB tissues, colored by the signed -log10(p-value). (C)Comparisons of the meta-cluster frequencies in TB tissues between early-stageand advanced-stage patients classified as in (B). Unpaired student’s t-test wasused in (A-C), with *p < 0.05, **p < 0.01, and ***p < 0.001