cytomapper: an R/Bioconductor package for visualization of highly multiplexed imaging data

被引：43

作者：

Eling, Nils ^{[1
,2
]}

Damond, Nicolas ^{[1
,2
]}

Hoch, Tobias ^{[1
,2
]}

Bodenmiller, Bernd ^{[1
,2
]}

机构：

[1] Univ Zurich, Dept Quantitat Biomed, CH-8057 Zurich, Switzerland

[2] Swiss Fed Inst Technol, Inst Mol Hlth Sci, CH-8093 Zurich, Switzerland

来源：

BIOINFORMATICS | 2020年 / 36卷 / 24期

关键词：

SINGLE-CELL ANALYSIS;

D O I：

10.1093/bioinformatics/btaa1061

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Highly multiplexed imaging technologies enable spatial profiling of dozens of biomarkers in situ. Here, we describe cytomapper, a computational tool written in R, that enables visualization of pixel- and cell-level information obtained by multiplexed imaging. To illustrate its utility, we analysed 100 images obtained by imaging mass cytometry from a cohort of type 1 diabetes patients. In addition, cytomapper includes a Shiny application that allows hierarchical gating of cells based on marker expression and visualization of selected cells in corresponding images.

引用

页码：5706 / 5708

页数：3

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