Ontology highlight
ABSTRACT:
SUBMITTER: Xu C
PROVIDER: S-EPMC7829634 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Xu Chenling C Lopez Romain R Mehlman Edouard E Regier Jeffrey J Jordan Michael I MI Yosef Nir N
Molecular systems biology 20210101 1
As the number of single-cell transcriptomics datasets grows, the natural next step is to integrate the accumulating data to achieve a common ontology of cell types and states. However, it is not straightforward to compare gene expression levels across datasets and to automatically assign cell type labels in a new dataset based on existing annotations. In this manuscript, we demonstrate that our previously developed method, scVI, provides an effective and fully probabilistic approach for joint re ...[more]