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:

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)

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 links

Key dates

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  • Released:
Newer release available (1.4.1)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Genomics and Machine Learning lab

License

BSD License (BSD license)

Requires

Python >=3.5

Tags

stlearn

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Release history Release notifications | RSS feed

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.2

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1.1.5

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1.1.1

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0.4.12

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0.4.11

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0.4.10

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0.4.9

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0.4.8

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0.4.7

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0.4.6

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0.4.5

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0.4.0

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0.3.2

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0.3.1

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0.3.0

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0.2.9

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0.2.8

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0.2.7

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0.2.6

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0.2.5

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0.2.4

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0.2.3

1 file

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9

2 files

0.1.8

3 files

0.1.7

2 files

This release

0.1.6 This release

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

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