This is the development version of tigre; for the stable release version, see tigre.
Transcription factor Inference through Gaussian process Reconstruction of ExpressionBioconductor version: Development (3.22)
The tigre package implements our methodology of Gaussian process differential equation models for analysis of gene expression time series from single input motif networks. The package can be used for inferring unobserved transcription factor (TF) protein concentrations from expression measurements of known target genes, or for ranking candidate targets of a TF.
Author: Antti Honkela, Pei Gao, Jonatan Ropponen, Miika-Petteri Matikainen, Magnus Rattray, Neil D. Lawrence
Maintainer: Antti Honkela <antti.honkela at helsinki.fi>
Citation (from within R, entercitation("tigre")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("tigre")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("tigre")Follow Installation instructions to use this package in your R session.
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