Ontology highlight
ABSTRACT:
SUBMITTER: Li S
PROVIDER: S-EPMC10545816 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
Nature biotechnology 20230403 1
RNA velocity provides an approach for inferring cellular state transitions from single-cell RNA sequencing (scRNA-seq) data. Conventional RNA velocity models infer universal kinetics from all cells in an scRNA-seq experiment, resulting in unpredictable performance in experiments with multi-stage and/or multi-lineage transition of cell states where the assumption of the same kinetic rates for all cells no longer holds. Here we present cellDancer, a scalable deep neural network that locally infers ...[more]