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A downstream analysis toolkit for Spatial Transcriptomic data

Project description


# 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` ### 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`


0.1.0 (2020-01-30)

0.1.1 (2020-01-30)

0.1.2 (2020-01-30)

0.1.3 (2020-01-30)

0.1.4 (2020-01-30)

  • First release on PyPI.

Project details

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Files for stlearn, version 0.1.5
Filename, size File type Python version Upload date Hashes
Filename, size stlearn-0.1.5-py2.py3-none-any.whl (341.1 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size stlearn-0.1.5.tar.gz (274.9 kB) File type Source Python version None Upload date Hashes View

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