General Information
| Description | Transcription factor inference through gaussian process reconstruction of expression for bioconductor |
| Homepage | http://www.bioconductor.org |
Publications
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor
Summary:
tigre is an R/Bioconductor package for inference of transcription factor activity and ranking candidate target genes from gene expression time series. The underlying methodology is based on Gaussian process inference on a differential equation model that allows the use of short, unevenly sampled, time series. The method has been designed with efficient parallel implementation in mind, and the package supports parallel operation even without additional software.
Availability:
The tigre package is included in Bioconductor since release 2.6 for R 2.11. The package and a user's guide are available at http://www.bioconductor.org.
Contact:
antti.honkela@hiit.fi; m.rattray@sheffield.ac.uk; n.lawrence@dcs.shef.ac.uk
Related Tools
SiGN-SSM
Published February 2011
Open source parallel software for estimating gene networks with state space models
Bayesian network feature finder (BANFF)
Published August 2016
An R package for gene network feature selection
ImpulseDE
Published December 2016
Detection of differentially expressed genes in time series data using impulse models
CMIP
Published December 2016
A software package capable of reconstructing genome-wide regulatory networks using gene expression data
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
