napari-clusters-plotter

Welcome to the documentation pages of the napari-clusters-plotter. The clusters-plotter is designed to provide an easy, interactive interface for state-of-the-art tools for unsupervised machine learning in biological contexts.

Installation

• Make sure you have Python in your computer, e.g. download miniforge.

• Create a new environment, for example, like this:

mamba create --name clusters-plotter python=3.12

If you never used mamba/conda environments before, take a look at this blog post.

• Activate the new environment with mamba:

mamba activate clusters-plotter

• Install napari, e.g. via mamba:

mamba install -c conda-forge napari pyqt

Afterwards, install napari-clusters-plotter via pip:

pip install napari-clusters-plotter

To install latest development version :

pip install git+https://github.com/BiAPoL/napari-clusters-plotter.git

Table of Contents

Here is an automatically generated Table of Contents:

Usage

• Features
• Plotting
• Dimensionality reduction
• Clustering

Examples

• Sample data

Contributing

• Contributing a new algorithm

API

• Widgets