Gibbs Sampling method to detect over-represented motifs in upstream regions of co-expressed genes.
Thijs,G., Marchal,K., Lescot,M., Rombauts,S., De Moor,B., Rouze,P., Moreau,Y. (2002)
Journal of Computational Biology, In Press
A Gibbs Sampling Method to Detect Over-represented Motifs in the Upstream Regions of Co-expressed Genes.
Thijs,G., Marchal,K., Lescot,M., Rombauts,S., De Moor,B., Rouze,P., Moreau,Y. (2001)
Proceedings Recomb'2001, pages 296-302.
A higher order background model improves the detection of regulatory elements by Gibbs Sampling
Thijs G., Lescot M., Marchal K., Rombauts S., De Moor B., Rouzé P., Moreau Y. (2001)
Bioinformatics, in press.
Detection of cis-acting regulatory elements in plants: a Gibbs sampling approach.
Thijs,G., Rombauts,S., Lescot,M., Marchal,K., De Moor,B., Moreau,Y. and Rouzé,P.
Proceedings of the second International conference on bioinformatics of genome
regulation and structure (2000), ICG, Novosibirsk, Russia V. 1, pp. 118-126
Recognition of gene regulatory sequences by bagging of neural networks.
Thijs, G., Moreau, Y., Rombauts, S., De Moor, B., and Rouzé, P. (1999).
Proceedings of the Ninth International Conference on Artificial Neural Networks (ICANN '99),
European Neural Network Society (Ed.).
London, Institution of Electrical Engineers (IEE), pp. 988-993 [ISBN 0-85296-721-7].
Adaptive Quality-based clustering of gene expression profiles.
Frank De Smet, Kathleen Marchal, Janick Mathijs, Gert Thijs, Bart De Moor and Yves Moreau
Bioinformatics, in press.