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285 results
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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 …
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
Multiple testing methods for ChIP-Chip high density oligonucleotide array data.
Keleş S, van der Laan MJ, Dudoit S, Cawley SE. Keleş S, et al. J Comput Biol. 2006 Apr;13(3):579-613. doi: 10.1089/cmb.2006.13.579. J Comput Biol. 2006. PMID: 16706714
Supervised detection of conserved motifs in DNA sequences with cosmo.
Bembom O, Keles S, van der Laan MJ. Bembom O, et al. Among authors: keles s. Stat Appl Genet Mol Biol. 2007;6:Article8. doi: 10.2202/1544-6115.1260. Epub 2007 Feb 23. Stat Appl Genet Mol Biol. 2007. PMID: 17402923
Mixture modeling for genome-wide localization of transcription factors.
Keleş S. Keleş S. Biometrics. 2007 Mar;63(1):10-21. doi: 10.1111/j.1541-0420.2005.00659.x. Biometrics. 2007. PMID: 17447925
A non-homogeneous hidden-state model on first order differences for automatic detection of nucleosome positions.
Kuan PF, Huebert D, Gasch A, Keles S. Kuan PF, et al. Among authors: keles s. Stat Appl Genet Mol Biol. 2009;8(1):Article29. doi: 10.2202/1544-6115.1454. Epub 2009 Jun 19. Stat Appl Genet Mol Biol. 2009. PMID: 19572828 Free PMC article. Review.
Sparse partial least squares classification for high dimensional data.
Chung D, Keles S. Chung D, et al. Among authors: keles s. Stat Appl Genet Mol Biol. 2010;9(1):Article17. doi: 10.2202/1544-6115.1492. Epub 2010 Mar 3. Stat Appl Genet Mol Biol. 2010. PMID: 20361856 Free PMC article.
Genome-wide disruption of 5-hydroxymethylcytosine in a mouse model of autism.
Papale LA, Zhang Q, Li S, Chen K, Keleş S, Alisch RS. Papale LA, et al. Among authors: keles s. Hum Mol Genet. 2015 Dec 15;24(24):7121-31. doi: 10.1093/hmg/ddv411. Epub 2015 Sep 30. Hum Mol Genet. 2015. PMID: 26423458 Free PMC article.
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