De novo spatial reconstruction of single-cell gene expression.
Project description
|PyPI| |Docs|
.. |PyPI| image:: https://img.shields.io/pypi/v/novosparc.svg :target: https://pypi.org/project/novosparc/ .. |Docs| image:: https://readthedocs.org/projects/novosparc-nukappa/badge/?version=latest :target: https://novosparc-nukappa.readthedocs.io/en/latest/
novoSpaRc - de novo Spatial Reconstruction of Single-Cell Gene Expression
.. image:: https://raw.githubusercontent.com/nukappa/nukappa.github.io/master/images/novosparc.png :width: 90px :align: left
novoSpaRc predicts locations of single cells in space by solely using
single-cell RNA sequencing data. An existing reference database of marker genes
is not required, but significantly enhances performance if available.
novoSpaRc accompanies the following publication:
| *Charting a tissue from single-cell transcriptomes*
| M. Nitzan, N. Karaiskos, N. Friedman, N. Rajewsky
| `bioRxiv 456350 <https://www.biorxiv.org/content/biorxiv/early/2018/10/30/456350.full.pdf>`_
Read the documentation <https://novosparc-nukappa.readthedocs.io/en/latest/>_ for more information.
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
File details
Details for the file novosparc-0.3.3.tar.gz.
File metadata
- Download URL: novosparc-0.3.3.tar.gz
- Upload date:
- Size: 9.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.9.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b6ec9d2d4f50f1a3518e231410fdf37ed03bf5dd26f9cd0c4574ee7902601630 |
|
| MD5 | eb850ed675ae8dde14cba72202297e3a |
|
| BLAKE2b-256 | c3263e49c864bfd51b15748a80dce189b963cef5560c8d33c53dfcbfc8a5ce23 |
File details
Details for the file novosparc-0.3.3-py3-none-any.whl.
File metadata
- Download URL: novosparc-0.3.3-py3-none-any.whl
- Upload date:
- Size: 31.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.9.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a8b1ee1e2f11fb9467cb5a79888d33a7f213f65d3d4f7bbbb21f4c02f618f027 |
|
| MD5 | aa8bcfceae2b4ff4c6518beb918dbd32 |
|
| BLAKE2b-256 | 6ab401b1573569a546df4674b9ef39b86e04cf70c72429eb0f938b0f4342e248 |
