A package for clustering high-dimensional cytometry data in Python.
Project description
CytoCluster
Overview
Welcome! This is CytoCluster, a package for clustering high-dimensional cytometry data in Python. CytoCluster started as a module in the first release of CytoPy.
CytoCluster is now a standalone package that provides functions and classes for:
- Popular clustering algorithms such as FlowSOM, Phenograph, SPADE etc.
- Plotting and visualising clustering results.
- Ensemble clustering for combining the results of many clustering algorithms into consensus clusters.
Examples of using the CytoCluster package are provided in the example notebooks (see notebooks folder in this repo).
Installation
pip install cytocluster
Release Notes
The CytoPy ecosystem is under development, see ### for details on release information.
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
Built Distribution
File details
Details for the file cytocluster-0.1.13.tar.gz
.
File metadata
- Download URL: cytocluster-0.1.13.tar.gz
- Upload date:
- Size: 38.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.10.6 Linux/5.15.0-60-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 53b027cbc69893255bc460759f9c5eaeaab358b6e9b46139a2bafbbc068eef1c |
|
MD5 | b71cbc00c58d29fe8f3ab199ec230a2d |
|
BLAKE2b-256 | 63a2ec20f367d1546282829866ea87c1f1d611bfcd2055bb1f8243d57031e1c4 |
File details
Details for the file cytocluster-0.1.13-py3-none-any.whl
.
File metadata
- Download URL: cytocluster-0.1.13-py3-none-any.whl
- Upload date:
- Size: 46.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.10.6 Linux/5.15.0-60-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e86cd29bb3d7c257b0fe06fd4b489c1818130d7cc2fbca1ced541234e6c69996 |
|
MD5 | 41f1f2d8db54d4a490ed1269c8e29067 |
|
BLAKE2b-256 | 4b0e9b61637d2e1581ef43de3050683995631981f0e241dc2b349760c188b8c8 |