Article

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

2020-10-09

Abstract excerpt

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. 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 introduce Batch-Corrected Distance...

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Literature Corpus work: b063bf24-3f0e-5bef-8dd1-ff1bc9eb5fb2
DOI: 10.1101/2020.10.08.332080

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