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sGBJ

The goal of sGBJ is to provide an extension of the Generalized Berk-Jones test for set-based inference in genomics studies with a censored time-to-event outcome. In particular, it is geared towards

This packages implements an extension of the GBJ statistic for censored time-to-event data. It computes the sGBJ statistic and its p-value for testing the association between a gene set and a time-to-event outcome with possible adjustment on additional covariates.

The main function of the package is sGBJ()

The methods implemented in this package are detailed in the following article:

Villain L, Ferté T, Thiébaut R, Hejblum BP (2021). Gene Set Analysis for time-to-event outcome with the Generalized Berk–Jones statistic. bioRxiv 2021.09.07.459329.

DOI: 10.1101/2021.09.07.459329

Installation

You can install the released version of sGBJ from CRAN with:

install.packages("sGBJ")

Laura Villain, Thomas Ferté, Rodolphe Thiébaut & Boris Hejblum

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Install

install.packages('sGBJ')

Monthly Downloads

191

Version

0.1.1

License

GPL (>= 3)

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Maintainer

Laura Villain

Last Published

April 14th, 2025

Functions in sGBJ (0.1.1)

ls_test_results

A data file used for testing sGBJ
surv_calc_scores_stats

surv_calc_scores_stats
sGBJ_scores

Compute the sGBJ statistic along with its p-value quantifying the association between a gene set and survival outcome
.epsilon_matrix

.epsilon_matrix
.survival_scores

.survival_scores
sGBJ

Compute the sGBJ statistic and its p-value quantifying a gene set expression association with survival