Metadata-Version: 2.1
Name: stlearn
Version: 0.1.6
Summary: A downstream analysis toolkit for Spatial Transcriptomic data
Home-page: https://github.com/duypham2108/stlearn
Author: Genomics and Machine Learning lab
Author-email: duy.pham@uqconnect.edu.au
License: BSD license
Keywords: stlearn
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
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===============================
stlearn
===============================

# A downstream analysis toolkit for Spatial Transcriptomic data

# How to install

### Step 1:

``` conda config --add channels conda-forge ```

``` conda install r r-base libopenblas r-elpigraph.r jupyterlab louvain```
### Step 2 (For Windows user):

Access to: 

 - https://www.lfd.uci.edu/~gohlke/pythonlibs/#python-igraph

 - https://www.lfd.uci.edu/~gohlke/pythonlibs/#louvain-igraph

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
=======

0.1.6 (2020-05-31)
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0.1.5 (2020-01-31)
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0.1.4 (2020-01-30)
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0.1.3 (2020-01-30)
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0.1.2 (2020-01-30)
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0.1.1 (2020-01-30)
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0.1.0 (2020-01-30)
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* First release on PyPI.







