A downstream analysis toolkit for Spatial Transcriptomic data
Project description
# stLearn - A downstream analysis toolkit for Spatial Transcriptomic data (v0.1.7)
# How to install
### Step 0:
Prepare conda environment for stlearn
` conda create -n stlearn python=3.8 `
### Step 1:
` conda config --add channels conda-forge `
` conda install jupyterlab louvain ipywidgets` ### Step 2 (For Windows user):
Access to:
Download 2 files: python_igraph‑0.7.1.post6‑cp37‑cp37m‑win_amd64.whl and louvain‑0.6.1‑cp37‑cp37m‑win_amd64.whl
You have to change to downloaded files directory and install it:
` pip install python_igraph‑0.7.1.post6‑cp37‑cp37m‑win_amd64.whl `
` pip install louvain‑0.6.1‑cp37‑cp37m‑win_amd64.whl `
### Step 3:
` pip install stlearn`
History
0.1.7 (2020-03-20)
0.1.6 (2020-01-31)
0.1.5 (2020-01-31)
0.1.4 (2020-01-30)
0.1.3 (2020-01-30)
0.1.2 (2020-01-30)
0.1.1 (2020-01-30)
0.1.0 (2020-01-30)
First release on PyPI.
Project 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
Built Distribution
Hashes for stlearn-0.1.7-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | edf3183af11c5b1b37ab2ff96cd1c4482b67a48e01d244998ac8d9367281a489 |
|
MD5 | 43242576beabb9814304ff6b0ad13b25 |
|
BLAKE2b-256 | e715278a33384c51c41d4f01e6134eaf44a89676332333512505cf1f77f712ac |