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tigre

Transcription factor Inference through Gaussian process Reconstruction of Expression

Bioconductor version: 3.23 · Package version: 1.66.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("tigre")

Details

MaintainerAntti Honkela <antti.honkela@helsinki.fi>
AuthorAntti Honkela, Pei Gao, Jonatan Ropponen, Miika-Petteri Matikainen, Magnus Rattray, Neil D. Lawrence
LicenseAGPL-3
URLhttps://github.com/ahonkela/tigre
Bug Reportshttps://github.com/ahonkela/tigre/issues
Downloads rank641
Source branchRELEASE_3_23
biocViewsBayesian, GeneExpression, GeneRegulation, Microarray, NetworkInference, Software, TimeCourse, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagetigre_1.66.0.tar.gz
Windows binary (x86_64)tigre_1.66.0.zip
macOS binary (arm64)tigre_1.66.0.tgz
macOS binary (x86_64)tigre_1.66.0.tgz
Dependencies

Depends: R (>= 2.11.0), BiocGenerics, Biobase

Imports: methods, AnnotationDbi, gplots, graphics, grDevices, stats, utils, annotate, DBI, RSQLite

Suggests: drosgenome1.db, puma, lumi, BiocStyle, BiocManager