ScAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data.
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ABSTRACT:
SUBMITTER: Johansen N
PROVIDER: S-EPMC6693154 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Publications
scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data.
Johansen Nelson N Quon Gerald G
Genome biology 20190814 1
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 partial, overlapping, or a complete set of cell labels, and estimate per-cell differences in gene expression across datasets. scAlign performance is state-of-the-art and robust to cross-dataset variation ...[more]
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