sparsesampler 1.0.0

A Python package for fast sampling with applications on flow cytometry and scRNA-seq data, focusing on retaining rare cell populations.

sParseSampler

A python package for fast sampling with applications on flow cytometry and scRNA-seq data focusing on retaining rare cell populations.

Sparse Sampler Visualization

This project demonstrates a step-by-step sparse sampling process using toy data and PCA binning.

Animated Sampling Process

The following animation shows how points are selected from a 2D toy dataset using PCA binning. Points are selected category by category (cells with 1 point, 2 points, etc.), and the process is visualized step by step:

• All points start as skyblue.
• When a category is considered, the cells are highlighted in yellow and the points in those cells are shown in gray for visibility.
• Selected points turn red and remain red in all subsequent frames.
• The process continues until the target number of points is reached.

Usage

To generate the animation, run:

python -m sparsesampler.visualization

The animation will be saved as sampling_process.gif in the project directory.