LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering

被引：115

作者：

Specht, Alicia T. ^{[1
]}

Li, Jun ^{[1
]}

机构：

[1] Univ Notre Dame, Appl & Computat Math & Stat, Notre Dame, IN 46556 USA

来源：

BIOINFORMATICS | 2017年 / 33卷 / 05期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1093/bioinformatics/btw729

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

To construct gene co-expression networks based on single-cell RNA-Sequencing data, we present an algorithm called LEAP, which utilizes the estimated pseudotime of the cells to find gene co-expression that involves time delay. Availability and Implementation: R package LEAP available on CRAN Contact: jun.li@nd.edu Supplementary information: Supplementary data are available at Bioinformatics online.

引用

页码：764 / 766

页数：3

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