Introduction | Setup | Run cell-type enrichment tests | 1. Prepare input data | CellTypeDataset | CTD levels | Plot CTD mean_exp | Gene list | 2. Run cell type enrichment tests | Hyperparameters | Parallelisation | Docker | Installation | Method 1: via Docker | Method 2: via Singularity | Usage | Session Info | References

Setup | Run cell-type enrichment tests | Introduction | Prepare input data | CellTypeDataset | CTD levels | Gene lists | Gene formats and species | Notes on orthogene | Setting analysis parameters | Enrichment tests | Default tests | Parallelisation | Plot results | Control for transcript length and GC-content | Test different CTD levels | Plot results from multiple sets of enrichment results | Create a CellTypeDataset | Loading datasets | Convert single-cell formats | Correct gene symbols | Drop genes | Normalization [Optional] | SingleCellExperiment | Calculate specificity matrices | Generate CellTypeDataset | Merge two single-cell datasets | Load hypothalamus dataset | Fix bad MGI symbols | Merge CTD | Drop uninformative genes | Understanding specificity matrices | Run conditional cell-type enrichment tests | Prepare data | Controlling for expression in another cell type | Merge and plot results | Gene set enrichment analysis controlling for cell type expression | Controlling for multiple cell types | Apply to transcriptomic data | Analysing single transcriptome study | Generating bootstrap plots for transcriptomes | Merging multiple transcriptome studies | Load data | Run EWCE analysis | Session Info | References