Package: LEAP
Type: Package
Title: Constructing Gene Co-Expression Networks for Single-Cell
        RNA-Sequencing Data Using Pseudotime Ordering
Version: 0.2
Date: 2016-09-09
Author: Alicia T. Specht and Jun Li
Maintainer: Alicia T. Specht <aspecht2@nd.edu>
Suggests: ggplot2
Description: Advances in sequencing technology now allow researchers to capture the expression profiles of individual cells. Several algorithms have been developed to attempt to account for these effects by determining a cell's so-called `pseudotime', or relative biological state of transition. By applying these algorithms to single-cell sequencing data, we can sort cells into their pseudotemporal ordering based on gene expression. LEAP (Lag-based Expression Association for Pseudotime-series) then applies a time-series inspired lag-based correlation analysis to reveal linearly dependent genetic associations.
License: GPL-2
LazyData: yes
NeedsCompilation: no
Packaged: 2016-09-13 13:06:15 UTC; aspecht2
Repository: CRAN
Date/Publication: 2016-09-13 21:19:05
Built: R 4.0.2; ; 2020-07-15 15:35:05 UTC; unix
