DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation

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成果类型：

期刊论文

作者：

Wei, Jiangyong;Zhou, Tianshou;Zhang, Xinan;Tian, Tianhai*

通讯作者：

Tian, Tianhai

作者机构：

[Wei, Jiangyong] Huazhong Agr Univ, Coll Sci, Wuhan 430070, Peoples R China.

[Wei, Jiangyong] Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China.

[Zhou, Tianshou] Sun Yat Sen Univ, Sch Math & Stat, Guangzhou 510275, Peoples R China.

[Zhang, Xinan] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.

[Tian, Tianhai] Monash Univ, Sch Math, Melbourne, Vic 3800, Australia.

通讯机构：

[Tian, Tianhai] M

Monash Univ, Sch Math, Melbourne, Vic 3800, Australia.

语种：

英文

关键词：

Single-cell heterogeneity;Pseudotime trajectory;Manifold learning;Bhattacharyya kernel

期刊：

基因组蛋白质组与生物信息学报

ISSN：

1672-0229

年：

2021

卷：

期：

页码：

306-318

DOI：

10.1016/j.gpb.2020.08.003

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11571368, 11931019, 11775314, 11871238]; Fundamental Research Funds for the Central Universities, ChinaFundamental Research Funds for the Central Universities [2662019QD031]

机构署名：

本校为其他机构

院系归属：

数学与统计学学院

摘要：

One of the major challenges in single-cell data analysis is the determination of cellular developmental trajectories using single-cell data. Although substantial studies have been conducted in recent years, more effective methods are still strongly needed to infer the developmental processes accurately. This work devises a new method, named DTFLOW, for determining the pseudo-temporal trajectories with multiple branches. DTFLOW consists of two major steps: a new method called Bhattacharyya kernel feature decomposition (BKFD) to reduce the data d...

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DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation

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