TCM visualizes trajectories and cell populations from single cell data

被引：9

作者：

Gong, Wuming ^{[1
]}

Kwak, Il-Youp ^{[1
]}

Koyano-Nakagawa, Naoko ^{[1
]}

Pan, Wei ^{[2
]}

Garry, Daniel J. ^{[1
]}

机构：

[1] Univ Minnesota, Lillehei Heart Inst, 2231 6th St SE,4-165 CCRB, Minneapolis, MN 55114 USA

[2] Univ Minnesota, Sch Publ Hlth, Div Biostat, 420 Delaware St SE,Mayo Bldg A302, Minneapolis, MN 55455 USA

来源：

NATURE COMMUNICATIONS | 2018年 / 9卷

基金：

美国国家卫生研究院;

关键词：

GENE-EXPRESSION; METHYLOME LANDSCAPES; FATE DECISIONS; STEM-CELLS;

D O I：

10.1038/s41467-018-05112-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Profiling single cell gene expression data over specified time periods are increasingly applied to the study of complex developmental processes. Here, we describe a novel prototype-based dimension reduction method to visualize high throughput temporal expression data for single cell analyses. Our software preserves the global developmental trajectories over a specified time course, and it also identifies subpopulations of cells within each time point demonstrating superior visualization performance over six commonly used methods.

引用

页数：8

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