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scTenifoldKnk  

In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scTenifoldKnk", "1.0.1")



Attach the package and use:
library("scTenifoldKnk")
Maintained by
Daniel Osorio
[Scholar Profile | Author Map]
First Published: 2020-11-23
Latest Update: 2021-01-22
Description:
A workflow based on 'scTenifoldNet' to perform in-silico knockout experiments using single-cell RNA sequencing (scRNA-seq) data from wild-type (WT) control samples as input. First, the package constructs a single-cell gene regulatory network (scGRN) and knocks out a target gene from the adjacency matrix of the WT scGRN by setting the gene
How to cite:
Daniel Osorio (2020). scTenifoldKnk: In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks. R package version 1.0.1, https://cran.r-project.org/web/packages/scTenifoldKnk. Accessed 10 Jan. 2025.
Previous versions and publish date:
1.0.0 (2020-11-23 10:40)
Other packages that cited scTenifoldKnk R package
View scTenifoldKnk citation profile
Other R packages that scTenifoldKnk depends, imports, suggests or enhances
Complete documentation for scTenifoldKnk
Functions, R codes and Examples using the scTenifoldKnk R package
Some associated functions: scTenifoldKnk . 
Some associated R codes: dRegulation.R . qFilter.R . scQC.R . scTenifoldKnk.R . strictDirection.R .  Full scTenifoldKnk package functions and examples
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