Lee S - Search Results

1

Statistical tests for identifying differentially expressed genes in time-course microarray experiments.

Park T, Yi SG, Lee S, Lee SY, Yoo DH, Ahn JI, Lee YS. Park T, et al. Among authors: lee sy, lee ys, lee s. Bioinformatics. 2003 Apr 12;19(6):694-703. doi: 10.1093/bioinformatics/btg068. Bioinformatics. 2003. PMID: 12691981

2

Evaluation of normalization methods for microarray data.

Park T, Yi SG, Kang SH, Lee S, Lee YS, Simon R. Park T, et al. Among authors: lee ys, lee s. BMC Bioinformatics. 2003 Sep 2;4:33. doi: 10.1186/1471-2105-4-33. Epub 2003 Sep 2. BMC Bioinformatics. 2003. PMID: 12950995 Free PMC article.

3

Diagnostic plots for detecting outlying slides in a cDNA microarray experiment.

Park T, Yi SG, Lee S, Lee JK. Park T, et al. Among authors: lee jk, lee s. Biotechniques. 2005 Mar;38(3):463-71. doi: 10.2144/05383RR02. Biotechniques. 2005. PMID: 15786811 Free article.

4

Combining multiple microarrays in the presence of controlling variables.

Park T, Yi SG, Shin YK, Lee S. Park T, et al. Among authors: lee s. Bioinformatics. 2006 Jul 15;22(14):1682-9. doi: 10.1093/bioinformatics/btl183. Epub 2006 May 16. Bioinformatics. 2006. PMID: 16705015

5

Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions.

Chung Y, Lee SY, Elston RC, Park T. Chung Y, et al. Bioinformatics. 2007 Jan 1;23(1):71-6. doi: 10.1093/bioinformatics/btl557. Epub 2006 Nov 8. Bioinformatics. 2007. PMID: 17092990

6

Spot intensity ratio statistics in two-channel microarray experiments.

Park T, Kim K, Yi SG, Kim JH, Lee YS, Lee S. Park T, et al. Among authors: lee ys, lee s. J Bioinform Comput Biol. 2007 Aug;5(4):865-73. doi: 10.1142/s0219720007002928. J Bioinform Comput Biol. 2007. PMID: 17787060

7

Log-linear model-based multifactor dimensionality reduction method to detect gene gene interactions.

Lee SY, Chung Y, Elston RC, Kim Y, Park T. Lee SY, et al. Bioinformatics. 2007 Oct 1;23(19):2589-95. doi: 10.1093/bioinformatics/btm396. Epub 2007 Sep 14. Bioinformatics. 2007. PMID: 17872915

8

A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity.

Oh E, Choi YL, Park T, Lee S, Nam SJ, Shin YK. Oh E, et al. Among authors: lee s. Breast Cancer Res Treat. 2012 Apr;132(2):499-509. doi: 10.1007/s10549-011-1626-8. Epub 2011 Jun 11. Breast Cancer Res Treat. 2012. PMID: 21667120

9

A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotype.

Lee S, Kim J, Lee S. Lee S, et al. BMC Bioinformatics. 2011 Sep 26;12:377. doi: 10.1186/1471-2105-12-377. BMC Bioinformatics. 2011. PMID: 21943316 Free PMC article.

10

Gene-gene interaction analysis for the survival phenotype based on the Cox model.

Lee S, Kwon MS, Oh JM, Park T. Lee S, et al. Bioinformatics. 2012 Sep 15;28(18):i582-i588. doi: 10.1093/bioinformatics/bts415. Bioinformatics. 2012. PMID: 22962485 Free PMC article.

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