Other packages > Find by keyword >

ssdGSA  

Single Sample Directional Gene Set Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ssdGSA", "0.1.1")



Attach the package and use:
library("ssdGSA")
Maintained by
Xingpeng Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-22
Latest Update: 2024-07-26
Description:
A method that inherits the standard gene set variation analysis (GSVA) method and also provides the option to use summary statistics from any analysis (disease vs healthy, lesional side vs nonlesional side, etc..) input to define the direction of gene sets used for directional gene set score calculation for a given disease. Note to use this package, GSVA(>= 1.52.1) is needed to pre-installed. Hanzelmann, S., Castelo, R., and Guinney, J. (2013) <doi:10.1186/1471-2105-14-7>.
How to cite:
Xingpeng Li (2024). ssdGSA: Single Sample Directional Gene Set Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/ssdGSA. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2024-07-22 19:30), 0.1.1 (2024-07-27 01:10)
Other packages that cited ssdGSA R package
View ssdGSA citation profile
Other R packages that ssdGSA depends, imports, suggests or enhances
Complete documentation for ssdGSA
Functions, R codes and Examples using the ssdGSA R package
Full ssdGSA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA