|PyPI| |Docs| |PePy|
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.. 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 publications:
| *Gene Expression Cartography*
| M Nitzan*, N Karaiskos*, N Friedman†, N Rajewsky†
| `Nature (2019) <https://www.nature.com/articles/s41586-019-1773-3>`_
and
| *novoSpaRc: flexible spatial reconstruction of single-cell gene expression with optimal transport*
| N Moriel*, E Senel*, N Friedman, N Rajewsky, N Karaiskos†, M Nitzan†
| `Nature Protocols (2021) <https://www.nature.com/articles/s41596-021-00573-7>`_
Read the documentation <https://novosparc.readthedocs.io>
_ and the
tutorial <https://github.com/rajewsky-lab/novosparc/blob/master/reconstruct_drosophila_embryo_tutorial.ipynb>
_ for more information.