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Supervised detection of regulatory motifs in DNA sequences.
Keles S, van der Laan MJ, Dudoit S, Xing B, Eisen MB. Keles S, et al. Stat Appl Genet Mol Biol. 2003;2:Article5. doi: 10.2202/1544-6115.1015. Epub 2003 Aug 25. Stat Appl Genet Mol Biol. 2003. PMID: 16646783
Identification of regulatory elements using a feature selection method.
Keleş S, van der Laan M, Eisen MB. Keleş S, et al. Bioinformatics. 2002 Sep;18(9):1167-75. doi: 10.1093/bioinformatics/18.9.1167. Bioinformatics. 2002. PMID: 12217908
We apply this method to a publicly available dataset of the yeast Saccharomyces cerevisiae, focussing on the 800 basepairs immediately upstream of each gene's translation start site (the upstream control region (UCR)). RESULTS: We successfully identify regulatory motifs th …
We apply this method to a publicly available dataset of the yeast Saccharomyces cerevisiae, focussing on the 800 basepairs immediately upstr …
Exploratory and confirmatory gene expression profiling of mac1Delta.
De Freitas JM, Kim JH, Poynton H, Su T, Wintz H, Fox T, Holman P, Loguinov A, Keles S, van der Laan M, Vulpe C. De Freitas JM, et al. Among authors: keles s. J Biol Chem. 2004 Feb 6;279(6):4450-8. doi: 10.1074/jbc.M212308200. Epub 2003 Oct 8. J Biol Chem. 2004. PMID: 14534306 Free article.
Regulatory motif finding by logic regression.
Keles S, van der Laan MJ, Vulpe C. Keles S, et al. Bioinformatics. 2004 Nov 1;20(16):2799-811. doi: 10.1093/bioinformatics/bth333. Epub 2004 May 27. Bioinformatics. 2004. PMID: 15166027
Asymptotic optimality of likelihood-based cross-validation.
van der Laan MJ, Dudoit S, Keles S. van der Laan MJ, et al. Among authors: keles s. Stat Appl Genet Mol Biol. 2004;3:Article4. doi: 10.2202/1544-6115.1036. Epub 2004 Mar 22. Stat Appl Genet Mol Biol. 2004. PMID: 16646820
376 results