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

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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 betwe...

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Detalles Bibliográficos
Autores principales: Liang, Shaoheng, Dou, Jinzhuang, Iqbal, Ramiz, Chen, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402204/
https://www.ncbi.nlm.nih.gov/pubmed/37547002
http://dx.doi.org/10.21203/rs.3.rs-3134332/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402204/
https://www.ncbi.nlm.nih.gov/pubmed/37547002
http://dx.doi.org/10.21203/rs.3.rs-3134332/v1

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