ahonkela/tigre: Transcription factor Inference through Gaussian process Reconstruction of Expression
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Antti Honkela, Pei Gao, Jonatan Ropponen, Miika-Petteri Matikainen, Magnus Rattray, Neil D. Lawrence |
| Bioconductor views | Bayesian GeneExpression GeneRegulation Microarray NetworkInference TimeCourse Transcription |
| Maintainer | Antti Honkela <antti.honkela@helsinki.fi> |
| License | AGPL-3 |
| Version | 1.47.1 |
| URL | https://github.com/ahonkela/tigre |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
