Transcription factor Inference through Gaussian process Reconstruction of Expression

Bioconductor version: Release (2.11)

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 hiit.fi>

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PDF R Script tigre Quick Guide
PDF R Script tigre User Guide
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, GeneExpression, Microarray, Software, TimeCourse, Transcription
Version 1.12.0
In Bioconductor since BioC 2.6 (R-2.11)
License AGPL-3
Depends R (>= 2.11.0), BiocGenerics, Biobase
Imports methods, BiocGenerics, Biobase, AnnotationDbi, gplots, graphics, puma, stats, utils, annotate, DBI, RSQLite
Suggests puma, drosgenome1.db, annotate, lumi
System Requirements
URL http://www.bioinf.manchester.ac.uk/resources/tiger/
Depends On Me
Imports Me
Suggests Me

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Package Source tigre_1.12.0.tar.gz
Windows Binary tigre_1.12.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) tigre_1.12.0.tgz
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