PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Identifying targets of transcriptionally regulated transcription factors using dynamical models
Antti Honkela, Neil Lawrence and Magnus Rattray
In: 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 8th European Conference on Computational Biology (ECCB), 27 Jun - 2 Jul 2009, Stockholm, Sweden.

Abstract

We apply a Gaussian process cascaded differential equation regulation model to identify targets of transcriptionally regulated transcription factors from wild type time series expression data. The results show significant improvements over ranking by differential expression in knock-outs and other alternative methods.

PDF - PASCAL Members only - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:5953
Deposited By:Antti Honkela
Deposited On:08 March 2010