README.Rmd

---
output: dynbenchmark::github_markdown_nested
---

# Scalability of methods

Here we test how well a method scales with increasing number of features (genes) and/or cells.

Each method is run on down- and upscaled datasets with increasing gene set and cell set sizes, and the execution times and memory usages are modelled using thin plate regressions splines within a generalised additivate model.

```{r}
dynbenchmark::render_scripts_documentation()
```

The results of this experiment are available [here](`r dynbenchmark::link_to_results()`).