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`
### Step 2:
` pip install stlearn`
History
0.1.0 (2020-01-30)
0.1.1 (2020-01-30)
0.1.2 (2020-01-30)
0.1.3 (2020-01-30)
First release on PyPI.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
stlearn-0.1.3.tar.gz
(274.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
stlearn-0.1.3-py2.py3-none-any.whl
(341.0 kB
view details)
File details
Details for the file stlearn-0.1.3.tar.gz.
File metadata
- Download URL: stlearn-0.1.3.tar.gz
- Upload date:
- Size: 274.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5fd6b9de89c8c32709ec09b9eb14445c40bbd77e27c8f4456de980d77c34fa51
|
|
| MD5 |
2d90a3bb6c15902b4aa9fb0199985dca
|
|
| BLAKE2b-256 |
8ec9d9a0e1a9480924205b432d877235cfa0c393d76a5c9e395143222dfc3358
|
File details
Details for the file stlearn-0.1.3-py2.py3-none-any.whl.
File metadata
- Download URL: stlearn-0.1.3-py2.py3-none-any.whl
- Upload date:
- Size: 341.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
529c7bbab2bee0a24a499b2d27f7a097adc6ff399a3aad71d7899234a72a6a80
|
|
| MD5 |
e2c1c881f094baf0801e1266680643e7
|
|
| BLAKE2b-256 |
24b0d8149dbaa783c3cf4f2d87c420f95714dc68ed77f66b137629a43975b520
|