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Computational detection of cis -regulatory modules.
Aerts S, Van Loo P, Thijs G, Moreau Y, De Moor B. Aerts S, et al. Among authors: thijs g. Bioinformatics. 2003 Oct;19 Suppl 2:ii5-14. doi: 10.1093/bioinformatics/btg1052. Bioinformatics. 2003. PMID: 14534164
A Gibbs sampling method to detect overrepresented motifs in the upstream regions of coexpressed genes.
Thijs G, Marchal K, Lescot M, Rombauts S, De Moor B, Rouzé P, Moreau Y. Thijs G, et al. J Comput Biol. 2002;9(2):447-64. doi: 10.1089/10665270252935566. J Comput Biol. 2002. PMID: 12015892 Free article.
Second, we describe the technical aspects of the incorporation of a higher-order background model whose application we discussed in Thijs et al. (2001). Our implementation is referred to as the Motif Sampler. We successfully validate our algorithm on several data sets. Fir …
Second, we describe the technical aspects of the incorporation of a higher-order background model whose application we discussed in Thijs …
Adaptive quality-based clustering of gene expression profiles.
De Smet F, Mathys J, Marchal K, Thijs G, De Moor B, Moreau Y. De Smet F, et al. Among authors: thijs g. Bioinformatics. 2002 May;18(5):735-46. doi: 10.1093/bioinformatics/18.5.735. Bioinformatics. 2002. PMID: 12050070
These classical algorithms, though useful, suffer from several drawbacks (e.g. they require the predefinition of arbitrary parameters like the number of clusters; they force every gene into a cluster despite a low correlation with other cluster members). ...AVAILABILITY: h …
These classical algorithms, though useful, suffer from several drawbacks (e.g. they require the predefinition of arbitrary parameters …
32 results