Skip to main content

A bayesian model to extract mutational signatures

Project description

pybasilica

Detecting mutational signatures via bayesian inference and reference catalog

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

pybasilica-0.2.1.tar.gz (31.5 kB view details)

Uploaded Source

Built Distribution

pybasilica-0.2.1-py3-none-any.whl (33.0 kB view details)

Uploaded Python 3

File details

Details for the file pybasilica-0.2.1.tar.gz.

File metadata

  • Download URL: pybasilica-0.2.1.tar.gz
  • Upload date:
  • Size: 31.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for pybasilica-0.2.1.tar.gz
Algorithm Hash digest
SHA256 b98ab76c1f9804b0ad2a1c55f18721805abe3202512c254a8e52e4f715f2efa3
MD5 03f180be566a818e46cdf2ffe8a64034
BLAKE2b-256 c0e2c24dd828ea349b4d7b7d6199990e7e33786d8022eb7ea0d1d6cdaa3ef6a3

See more details on using hashes here.

Provenance

File details

Details for the file pybasilica-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: pybasilica-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 33.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for pybasilica-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7f96073424caaf6ea4d0c8bd3aa724ccd7a6039c22e74b33554bf0c92f3dc776
MD5 67c23eee67fd642ffb1cb84ae5558cb2
BLAKE2b-256 e87e7aff663674055e8e41f40b868fe5e69b388a8a45c1d9ae3c945335b4d237

See more details on using hashes here.

Provenance

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