SciBet as a portable and fast single cell type identifier.
Where this comes from
- Record sourced from PubMed, PMID 32286268.
- Also identified by DOI 10.1038/s41467-020-15523-2 and PMC identifier 7156687.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Fast, robust and technology-independent computational methods are needed for supervised cell type annotation of single-cell RNA sequencing data. We present SciBet, a supervised cell type identifier that accurately predicts cell identity for newly sequenced cells with order-of-magnitude speed advantage. We enable web client deployment of SciBet for rapid local computation without uploading local data to the server. Facing the exponential growth in the size of single cell RNA datasets, this user-friendly and cross-platform tool can be widely useful for single cell type identification.
Medical subject headings
- Algorithms
- Single-Cell Analysis