Skip to main content

A biclustering library with datasets, evaluation measures and a benchmarking framework

Project description

biclustlib

The package is an extension of biclustlib Python library by Victor Alexandre Padilha.
It is highly recommended to see the original repository first.
The goal of this package is to create a unified biclustering framework for performing research on gene expression data and comparing different biclustering algorithms and measures.

Distributed under GPLv3 license.

Installation

pip install biclustlib
You must also install R and the following R packages:

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

biclustlib-0.0.10-py3-none-any.whl (19.3 MB view details)

Uploaded Python 3

File details

Details for the file biclustlib-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: biclustlib-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 19.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for biclustlib-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 0dd0c42cc41b0c1efd6625e9115a7d0dd563ba3fc939ffe3d844a2ad903a0358
MD5 8a041dde2ad8ff01c1253da2af32f032
BLAKE2b-256 067eb143ecfd40c47b8aad8ccb06b1f693f549e86ec23d9b7fd126f00196c919

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