Cargando…
Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data
Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA) is widely used, but requires continuous, normally-distributed data; therefore, it is often coupled with log-transformation in scRNAseq applications, which can distort the data a...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867729/ https://www.ncbi.nlm.nih.gov/pubmed/36681709 http://dx.doi.org/10.1038/s41598-022-26434-1 |