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scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method for data integration that can incorporate par...
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| Pubblicato in: | Genome Biol |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6693154/ https://ncbi.nlm.nih.gov/pubmed/31412909 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1766-4 |
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