tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor
Author(s) -
Antti Honkela,
Pei Gao,
Jonatan Ropponen,
Magnus Rattray,
Neil D. Lawrence
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr057
Subject(s) - bioconductor , inference , computer science , r package , software , ranking (information retrieval) , software package , data mining , artificial intelligence , biology , gene , programming language , genetics
igre 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.
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