The first software for quantitative trajectory inference
Project description
Treefit for Python - The first software for quantitative trajectory inference
This is an implementation of Treefit in Python.
Treefit is a novel data analysis toolkit that helps you perform two types of analysis: 1) checking the goodness-of-fit of tree models to your single-cell gene expression data; and 2) deciding which tree best fits your data.
Install
pip install treefit
Usage
The main functions are treefit.treefit() and treefit.plot():
fit = treefit.treefit(YOUR_SINGLE_CELL_GENE_EXPRESSION_DATA)
treefit.plot(fit)
See https://hayamizu-lab.github.io/treefit-python/ for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
treefit-1.0.0.tar.gz
(23.0 kB
view details)
File details
Details for the file treefit-1.0.0.tar.gz.
File metadata
- Download URL: treefit-1.0.0.tar.gz
- Upload date:
- Size: 23.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2cda66af871aece5c0f38c2a37a1c2ca9047277cd9cc912bc1be251086fd69a1
|
|
| MD5 |
3e11fd878e9e003d2a0dd1cdbb48b8af
|
|
| BLAKE2b-256 |
8b265369dd8fbc3cb8412db140cbc49749932c3c45e0f78ca0a381c9a81c5413
|
