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scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
The increasing number of scRNA-seq data emphasizes the need for integrative analysis to interpret similarities and differences between single-cell samples. Although different batch effect removal methods have been developed, none are suitable for heterogeneous single-cell samples coming from multipl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935111/ https://www.ncbi.nlm.nih.gov/pubmed/35313930 http://dx.doi.org/10.1186/s13059-022-02649-3 |