Skip to main content

Genomic interval toolkit

Project description

Genomic interval machine learning (geniml)

Geniml is a python package for building machine learning models of genomic interval data (BED files). It also includes ancillary functions to support other types of analyses of genomic interval data.

Documentation is hosted at https://docs.bedbase.org/geniml/.

Installation

To install geniml use this commands.

Without specifying dependencies, the default dependencies will be installed, which DO NOT include machine learning (ML) or heavy processing libraries.

From pypi:

pip install geniml

or install the latest version from the GitHub repository:

pip install git+https://github.com/databio/geniml.git

To install Machine learning dependencies use this command:

From pypi:

pip install geniml[ml]

Development

Run tests (from /tests) with pytest. Please read the contributor guide to contribute.

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

geniml-0.4.2.tar.gz (127.6 kB view details)

Uploaded Source

Built Distribution

geniml-0.4.2-py3-none-any.whl (152.5 kB view details)

Uploaded Python 3

File details

Details for the file geniml-0.4.2.tar.gz.

File metadata

  • Download URL: geniml-0.4.2.tar.gz
  • Upload date:
  • Size: 127.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for geniml-0.4.2.tar.gz
Algorithm Hash digest
SHA256 37bdf056b5730cc71d3f091e1ecef097be9c7feccb5d77aff7154b0fbd76edc0
MD5 d4e43e57ab9f2b76b82065a62e37cd4c
BLAKE2b-256 46c374b6c2af8bc620ae51e64de6e216b0475e3fa8e55d03018516576cb5c7db

See more details on using hashes here.

File details

Details for the file geniml-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: geniml-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 152.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for geniml-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c33280b8fb474030a53f71d293310717b65fbfb033b1cd19d4cb50b534e33355
MD5 fd0adbc314f1fdfe743c431d103ae24f
BLAKE2b-256 35434e5087b3e85f4eb2a8c06999f9e500b35335491dbabea3248205369db816

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