PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

TFInfer: A Tool for Probabilistic Inference of Transcription Factor Activities
Shehzad Asif, Matthew Rolfe, Jeff Green, Neil Lawrence, Magnus Rattray and Guido Sanguinetti
Bioinformatics Volume 26, Number 20, pp. 2635-2636, 2010.

Abstract

TFInfer is a novel open access, standalone tool for genome-wide inference of transcription factor activities from gene expression data. Based on an earlier MATLAB version, the software has now been extended in a number of ways. It has been significantly optimised in terms of performance, and it was given novel functionality, by allowing the user to model both time series and data from multiple independent conditions. With a full documentation and intuitive graphical user interface, together with an in-built data base of yeast and Escherichia coli transcription factors, the software does not require any mathematical or computational expertise to be used effectively.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
ID Code:7623
Deposited By:Guido Sanguinetti
Deposited On:17 March 2011