Single-cell reference mapping to construct and extend cell-type hierarchies.

ABSTRACT: Single-cell genomics is now producing an ever-increasing amount of datasets that, when integrated, could provide large-scale reference atlases of tissue in health and disease. Such large-scale atlases increase the scale and generalizability of analyses and enable combining knowledge generated by individual studies. Specifically, individual studies often differ regarding cell annotation terminology and depth, with different groups specializing in different cell type compartments, often using distinct terminology. Understanding how these distinct sets of annotations are related and complement each other would mark a major step towards a consensus-based cell-type annotation reflecting the latest knowledge in the field. Whereas recent computational techniques, referred to as 'reference mapping

SUBMITTER: Michielsen L 

PROVIDER: S-EPMC10370450 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature