Skip to main content

A toolkit for processing multiplexed tissue images

Project description

Logo

steinbock

Python Build PyPI Coverage Documentation Issues Pull requests License

A toolkit for processing multiplexed tissue images

Documentation is available at https://bodenmillergroup.github.io/steinbock

Project details


Download files

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

Source Distribution

steinbock-0.16.0.tar.gz (243.2 kB view details)

Uploaded Source

Built Distribution

steinbock-0.16.0-py3-none-any.whl (173.7 kB view details)

Uploaded Python 3

File details

Details for the file steinbock-0.16.0.tar.gz.

File metadata

  • Download URL: steinbock-0.16.0.tar.gz
  • Upload date:
  • Size: 243.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for steinbock-0.16.0.tar.gz
Algorithm Hash digest
SHA256 f253a29e8981223f6a7af19058572cc0863a0b2a94673018d2a0c433bc188c06
MD5 ce0c35f3871543746c5017d809ef9bcb
BLAKE2b-256 7fa68032916026465de654584816823b2b3c77c9fda4cabc05e5134b28631e10

See more details on using hashes here.

File details

Details for the file steinbock-0.16.0-py3-none-any.whl.

File metadata

  • Download URL: steinbock-0.16.0-py3-none-any.whl
  • Upload date:
  • Size: 173.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for steinbock-0.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 314b3edc7c4c6f312b69d85dd4db06eeddda3b8872772a466518c50af658a31e
MD5 05a40a385cfa10804a094db588c658be
BLAKE2b-256 d3c639171f406679e41d9c2b03ad1db628f62ea19a58a9e7755a8e8958cc2f22

See more details on using hashes here.

Supported by

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