Article

Batch-Corrected Distance Mitigates Temporal and Spatial Variability for Clustering and Visualization of Single-Cell Gene Expression Data

2023-07-26

Abstract excerpt

<title>Abstract</title> <p>Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells. To solve this problem, we in...

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Literature Corpus work: 9687ddfd-f79e-57fb-bed6-6e9924e40437
DOI: 10.21203/rs.3.rs-3134332/v1

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