Mugen-UMAP: UMAP visualization and clustering of mutated genes in single-cell DNA sequencing data

Abstract excerpt

<title>Abstract</title> <p>Background The application of Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction and visualization has revolutionized the analysis of single-cell RNA expression and population genetics. However, its potential in single-cell DNA sequencing data analysis, particularly for visualizing gene mutation information, has not been fully explored. Results We introd...

Topics

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• Algorithms
• Carcinoma, Non-Small-Cell Lung
• Cluster Analysis
• Lung Neoplasms
• Mutation
• Sequence Analysis, DNA
• Single-Cell Analysis
• Software

Identifiers and source

Literature Corpus work

bfb387d9-3032-5c70-a680-da46f3cb1b2c

DOI

10.21203/rs.3.rs-4351938/v1