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
| Maintainer | Antti Honkela <antti.honkela@helsinki.fi> |
| Author | Antti Honkela, Pei Gao, Jonatan Ropponen, Miika-Petteri Matikainen, Magnus Rattray, Neil D. Lawrence |
| License | AGPL-3 |
| URL | https://github.com/ahonkela/tigre |
| Bug Reports | https://github.com/ahonkela/tigre/issues |
| Downloads rank | 641 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, GeneExpression, GeneRegulation, Microarray, NetworkInference, Software, TimeCourse, Transcription |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | tigre_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