https://github.com/trangdata/tdapseudotime
R package for temporal phenotyping via topological data analysis and pseudo time
https://github.com/trangdata/tdapseudotime
Last synced: 24 days ago
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R package for temporal phenotyping via topological data analysis and pseudo time
- Host: GitHub
- URL: https://github.com/trangdata/tdapseudotime
- Owner: trangdata
- License: other
- Created: 2020-09-26T15:50:20.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2021-02-03T21:30:58.000Z (over 5 years ago)
- Last Synced: 2025-03-02T13:27:53.573Z (over 1 year ago)
- Language: R
- Homepage: https://trang1618.github.io/tdapseudotime
- Size: 8.15 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
title: "Temporal phenotyping via topological data analysis"
output: rmarkdown::github_document
---
The {tdapseudotime} :package: contains functions to implement the temporal phenotyping via topological data analysis of EHR COVID-19 data from the 4CE consortium.
```{r, include = FALSE}
knitr::opts_chunk$set(
fig.path = "man/figures/"
)
```
You can install the development version of tdapseudotime from GitHub with remotes:
```{r, eval=FALSE}
# install.packages('remotes') # uncomment to install devtools
remotes::install_github('trang1618/tdapseudotime')
```
For detailed instruction on how to deploy the TDA algorithm on your site data,
please visit the vignettes -- [train](https://trang1618.github.io/tdapseudotime/articles/train.html) or [test](https://trang1618.github.io/tdapseudotime/articles/test.html) depending on the site.
Please [open an issue](https://github.com/trang1618/tdapseudotime/issues/new) for questions related to **tdapseudotime** usage, bug reports or general inquiries.
Thank you very much for your support!