In:
Bioinformatics, Oxford University Press (OUP), Vol. 34, No. 23 ( 2018-12-01), p. 4131-4133
Abstract:
High-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging. Results Here, we present GateFinder, an algorithm that enriches high-dimensional cell types with simple, stepwise polygon gates requiring only two markers at a time. A series of case studies of complex cell types illustrates how simplified enrichment strategies can enable more efficient assays, reveal novel biomarkers and clarify underlying biology. Availability and implementation The GateFinder algorithm is implemented as a free and open-source package for BioConductor: https://nalab.stanford.edu/gatefinder. Supplementary information Supplementary data are available at Bioinformatics online.
Type of Medium:
Online Resource
ISSN:
1367-4803
,
1367-4811
DOI:
10.1093/bioinformatics/bty430
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2018
detail.hit.zdb_id:
1468345-3
SSG:
12
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