scFates: a scalable python']python package for advanced pseudotime and bifurcation analysis from single-cell data

被引：27

作者：

Faure, Louis ^{[1
]}

Soldatov, Ruslan ^{[2
]}

Kharchenko, Peter, V ^{[2
,3
]}

Adameyko, Igor ^{[1
]}

机构：

[1] Med Univ Vienna, Ctr Brain Res, Dept Neuroimmunol, A-1090 Vienna, Austria

[2] Harvard Med Sch, Dept Biomed Informat, Boston, MA 02115 USA

[3] Altos Labs, San Diego, CA 92121 USA

来源：

BIOINFORMATICS | 2023年 / 39卷 / 01期

基金：

奥地利科学基金会; 欧洲研究理事会;

关键词：

D O I：

10.1093/bioinformatics/btac746

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a focus on cell biasing and fate splits at the level of bifurcations. It is meant to be fully integrated into the scanpy ecosystem for seamless analysis of trajectories from single-cell data of various modalities (e.g. RNA and ATAC).

引用

页数：3

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