Project description

Consensus Clustering

PyPI PyPI - Python Version PyPI - Wheel PyPI - License Codecov GitHub Workflow Status (with event)

consensusclustering is a python implementation of the Consensus Clustering algorithm for finding the optimal number of clusters by means of clustering stability under resampling, as originally proposed by Monti et al. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data (2003).

consensusclustering can be installed from PyPi using pip:

pip install consensusclustering

See the 'examples' directory for a detailed overview of the package's functionality.

Cytotransform is licensed under the MIT license, is free to use, and comes with no warranty whatsoever.

These details have not been verified by PyPI

0.2.3

Aug 8, 2024

0.2.1

Oct 5, 2023

This version

0.2.0

Sep 28, 2023

0.1.1

Sep 27, 2023

0.1.0

Sep 24, 2023

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

Uploaded Sep 28, 2023 Source

Uploaded Sep 28, 2023 Python 3

Details for the file consensusclustering-0.2.0.tar.gz.

Hashes for consensusclustering-0.2.0.tar.gz
Algorithm	Hash digest
SHA256	`6e6245c2e88fbae61c2df133a811355d6aea02617aceec630606df8e24b86da5`
MD5	`22049451aa835954c8af64d408bfce91`
BLAKE2b-256	`b2cd37ba1eebabcd32931ae0d96cc0f80187b52e775a7ead38d79947fc7ec7eb`

Details for the file consensusclustering-0.2.0-py3-none-any.whl.

Hashes for consensusclustering-0.2.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`cfe7cca7f6ca15d41c9a8a1483390e97a0e40f213c4361fedef4811b080eedee`
MD5	`d6886aa20ab690182f6b79d862419ec9`
BLAKE2b-256	`8bce0eb418853b71238821bc135c6532937c6c9d70ea26abfe6ae1e4bf8b02ba`