# 02. UMAP

# Introduction

UMAP (Uniform Manifold Approximation and Projection) is a dimension reduction technique that is particularly well-suited for visualizing high-dimensional data. It is widely used in various fields such as bioinformatics, machine learning, and data science to uncover the underlying structure of the data by projecting it into a lower-dimensional space. UMAP aims to preserve the local and global structure of the data, making it an effective tool for exploratory data analysis and visualization.

# Example

# Message

Display all samples with UMAP, colored by stage.

# 02. UMAP

# Introduction

# Example

# Message

# Results