README.Rmd

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

# Trajectory inference methods

Here we

- Compile all the information we have about TI methods
- Characterise the methods with regards to user and developer friendliness (method quality control)
- Characterise the methods with regards to prior information, underlying algorithm, possible detectable trajectory types, ...

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

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


```{r, results = "asis"}
dynbenchmark::knit_nest("01-gather_methods_information")
```

```{r, results = "asis"}
dynbenchmark::knit_nest("02-tool_qc")
```

```{r, results = "asis"}
dynbenchmark::knit_nest("03-method_characterisation")
```