Skip to main content

De novo spatial reconstruction of single-cell gene expression.

Project description

PyPI Docs

novoSpaRc - de novo Spatial Reconstruction of Single-Cell Gene Expression

https://raw.githubusercontent.com/nukappa/nukappa.github.io/master/images/novosparc.png

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:

Gene Expression Cartography
M. Nitzan, N. Karaiskos, N. Friedman, N. Rajewsky

Read the documentation for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

novosparc-0.3.9-py3-none-any.whl (31.7 kB view details)

Uploaded Python 3

File details

Details for the file novosparc-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: novosparc-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 31.7 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

Hashes for novosparc-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 165c26a253fe85996ce804005bbc6b9974b533f1d704be2443cddcdce6aa43c8
MD5 a6f5b17a9df8d64e62b824a697e7b19a
BLAKE2b-256 fc88362750f653712b226f361cb7784ce24a57f2c07e9d57dfdeb7877d2adf91

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page