Article

A Universal Algorithm to Detect Rare or Novel Cell Types in High-Throughput Single-Cell Gene Expression Data

2018-10-13

Abstract excerpt

Detecting rare cell types would allow early disease detection of cancers and infections, identification of new cell types, and a deepened understanding of cell differentiation. We developed a universal algorithm to identify rare cell types from a wide variety of single-cell ’omics’ data. We validated our algorithm on single-cell qPCR data from mouse hematopoietic cells and single-cell RNA-seq data from human gliob...

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Literature Corpus work: e05df7d7-8fb3-5a8a-8676-24dff0ff473e
DOI: 10.1101/438382

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