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Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models
Dimensionality reduction is a critical step in the analysis of single-cell RNA-seq data. The standard approach is to apply a transformation to the count matrix, followed by principal components analysis. However, this approach can spuriously indicate heterogeneity where it does not exist and mask tr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168202/ https://www.ncbi.nlm.nih.gov/pubmed/37162914 http://dx.doi.org/10.1101/2023.04.21.537881 |