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tcgsaseq

WARNING: soft-deprecation

tcgsaseq capabilities and features have been incorporated into the Bioconductor package dearseq.

tcgsaseq will be kept as the legacy companion package of the 2017 Agniel & Hejblum Biostatistics article, but will not be further developped or extended.

If you are interested in using tcgsaseq, you should probably rather look into the newer and more comprehensive dearseq package.

Overview

tcgsaseq is a package for analyzing RNA-seq data. The 2 main functions of the package are varcompseq and tcgsa_seq:

  • Gene-wise Differential Analysis of RNA-seq data can be performed using the function varcompseq.
  • Gene Set Analysis of RNA-seq data can be performed using the function tcgsa_seq.

The method implemented in this package is detailed in the following article:

Agniel D & Hejblum BP (2017). Variance component score test for time-course gene set analysis of longitudinal RNA-seq data, 2017, Biostatistics, 18(4):589-604. arXiv:1605.02351 DOI: 10.1093/biostatistics/kxx005

Installation

The easiest way to get tcgsaseq is to install it from CRAN:

install.packages("tcgsaseq")

Or to get the development version from GitHub:

#install.packages("devtools")
devtools::install_github("denisagniel/tcgsaseq")

– Denis Agniel and Boris Hejblum

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Version

Install

install.packages('tcgsaseq')

Monthly Downloads

27

Version

2.0.5

License

GPL-2 | file LICENSE

Maintainer

Boris P. Hejblum

Last Published

September 10th, 2020

Functions in tcgsaseq (2.0.5)

nonlin_sim_fn

Computing nonlinear simulations results
compute_sim_voomlike

Computing simulations results
%^%

Power for matrix elements
PBT_gmt

PBT gene sets related to kidney transplant
dsFDR

Estimating the False Discovery Rate
deseq_fn

Computes gene-wise p-values from DESeq2 method using observation-wise dispersion estimates
nb_sim_fn

Computing negative binomial simulations results
compute_sim_voomlike_genewise

Computing simulations results observation-wise
data_sim_voomlike

Data simulation function
baduel_5gs

Small portion of RNA-seq data from plant physiology study.
perm_pe

Exact permutation p-values
vc_score_perm

Computes variance component test statistic and its permuted distribution
vc_score_h_perm

Computes variance component test statistic for homogeneous trajectory
vc_score_h

Computes variance component test statistic for homogeneous trajectory
vc_test_asym

Computes variance component test statistic for longitudinal
vc_test_perm

Permutation-based variance component test statistic
vc_score

Computes variance component test statistic for longitudinal
tcgsa_seq

Time-course Gene Set Analysis
sp_weights

Non parametric local heteroscedasticity weights
voom_weights

Precision weights accounting for heteroscedasticity in RNA-seq count data
varcompseq

Variance component testing for RNA-seq data analysis
qAbundanceDist

Gene abundance proportion distribution of RNA-seq data.
tcgsaseq

tcgsaseq: a package to perform Time-course Gene Set Analysis and General Gene-Wise Analysis of RNA-seq data