Additional file 2 of Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types

Additional file 2: Table S1. Rankings of deconvolution results for the five deconvolution methods across all pseudobulk and realbulk samples in the GSE176078 dataset. Table S2. Bulk datasets used in the benchmark and pan-cancer analysis. Table S3. scRNA-seq datasets used in the benchmark and pan-cancer analysis. Table S4. The cell type annotations used for each cancer type in the benchmark. Table S5. Datasets besides benchmark evaluation and pan-cancer analysis. Table S6. All DP cell types detected by deconvolution methods and their corresponding p-values in scRNA-seq data. For deconvolution results, the FDR threshold was set at 0.05; for DP cell types in scRNA-seq data, the FDR threshold was 0.1. Condition 1 and Condition 2 correspond to those in Table S2. Table S7. All PR cell types detected by deconvolution methods.