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LEAP  

Constructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering
View on CRAN: Click here


Download and install LEAP package within the R console
Install from CRAN:
install.packages("LEAP")

Install from Github:
library("remotes")
install_github("cran/LEAP")

Install by package version:
library("remotes")
install_version("LEAP", "0.2")



Attach the package and use:
library("LEAP")
Maintained by
Alicia T. Specht
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-15
Latest Update: 2023-08-18
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 cells 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.
How to cite:
Alicia T. Specht (2016). LEAP: Constructing Gene Co-Expression Networks for Single-Cell RNA-Sequencing Data Using Pseudotime Ordering. R package version 0.2, https://cran.r-project.org/web/packages/LEAP. Accessed 20 Apr. 2025.
Previous versions and publish date:
0.1 (2016-05-15 22:01), 0.2 (2016-09-13 21:19)
Other packages that cited LEAP R package
View LEAP citation profile
Other R packages that LEAP depends, imports, suggests or enhances
Functions, R codes and Examples using the LEAP R package
Some associated functions: LEAP-package . MAC_counter . MAC_example . MAC_lags . MAC_perm . MAC_symmetric . example_data . lag_example . perm_example . 
Some associated R codes: MAC_counter.R . MAC_lags.R . MAC_perm.R .  Full LEAP package functions and examples
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