https://github.com/dynverse/dynguidelines

Selecting the optimal trajectory inference based on a given dataset and user input 🔮
https://github.com/dynverse/dynguidelines

shiny trajectory-inference

Last synced: 20 days ago
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Selecting the optimal trajectory inference based on a given dataset and user input 🔮

• Host: GitHub
• URL: https://github.com/dynverse/dynguidelines
• Owner: dynverse
• License: other
• Created: 2018-04-16T10:22:25.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-29T13:32:29.000Z (over 4 years ago)
• Last Synced: 2024-08-13T07:14:41.182Z (4 months ago)
• Topics: shiny, trajectory-inference
• Language: R
• Homepage:
• Size: 38 MB
• Stars: 17
• Watchers: 2
• Forks: 7
• Open Issues: 10
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - dynverse/dynguidelines - Selecting the optimal trajectory inference based on a given dataset and user input 🔮 (R)

README

        
---

output: github_document

editor_options: 

  chunk_output_type: console

---

```{r, echo = FALSE, message = FALSE, error = FALSE, warning = FALSE}

library(tidyverse)

```

[![R build status](https://github.com/dynverse/dynguidelines/workflows/R-CMD-check/badge.svg)](https://github.com/dynverse/dynguidelines/actions)

[![codecov](https://codecov.io/gh/dynverse/dynguidelines/branch/master/graph/badge.svg)](https://codecov.io/gh/dynverse/dynguidelines) 



# Selecting the most optimal TI methods

This package summarises the results from the [dynbenchmark](https://www.github.com/dynverse/dynbenchmark) evaluation of trajectory inference methods. Both programmatically and through a (shiny) app, users can select the most optimal set of methods given a set of user and dataset specific parameters.

Installing the app:

```{r eval=FALSE}

# install.packages("devtools")

devtools::install_github("dynverse/dynguidelines")

```

Running the app:

```{r eval=FALSE}

dynguidelines::guidelines_shiny()

```

See [dyno](https://www.github.com/dynverse/dyno) for more information on how to use this package to infer and interpret trajectories.

![demo](man/figures/demo.gif)

## Latest changes

Check out `news(package = "dynguidelines")` or [NEWS.md](NEWS.md) for a full list of changes.

```{r news, echo=FALSE, results="asis"}

cat(dynutils::recent_news())

```