Kim SY - Search Results

1

Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Kim YR, Kim SY. Kim YR, et al. Among authors: kim sy. J Cancer Res Clin Oncol. 2018 Aug;144(8):1435-1444. doi: 10.1007/s00432-018-2676-7. Epub 2018 May 25. J Cancer Res Clin Oncol. 2018. PMID: 29802456

2

Cross-platform meta-analysis of multiple gene expression profiles identifies novel expression signatures in acquired anthracycline-resistant breast cancer.

Lee YS, Ryu SW, Bae SJ, Park TH, Kwon K, Noh YH, Kim SY. Lee YS, et al. Among authors: kim sy. Oncol Rep. 2015 Apr;33(4):1985-93. doi: 10.3892/or.2015.3810. Epub 2015 Feb 17. Oncol Rep. 2015. PMID: 25695524

3

Integrative meta-analysis of multiple gene expression profiles in acquired gemcitabine-resistant cancer cell lines to identify novel therapeutic biomarkers.

Lee YS, Kim JK, Ryu SW, Bae SJ, Kwon K, Noh YH, Kim SY. Lee YS, et al. Among authors: kim jk, kim sy. Asian Pac J Cancer Prev. 2015;16(7):2793-800. doi: 10.7314/apjcp.2015.16.7.2793. Asian Pac J Cancer Prev. 2015. PMID: 25854364 Free article.

4

Topological network analysis of differentially expressed genes in cancer cells with acquired gefitinib resistance.

Lee YS, Hwang SG, Kim JK, Park TH, Kim YR, Myeong HS, Kwon K, Jang CS, Noh YH, Kim SY. Lee YS, et al. Among authors: kim jk, kim sy, kim yr. Cancer Genomics Proteomics. 2015 May-Jun;12(3):153-66. Cancer Genomics Proteomics. 2015. PMID: 25977174

5

Identification of novel therapeutic target genes in acquired lapatinib-resistant breast cancer by integrative meta-analysis.

Lee YS, Hwang SG, Kim JK, Park TH, Kim YR, Myeong HS, Choi JD, Kwon K, Jang CS, Ro YT, Noh YH, Kim SY. Lee YS, et al. Among authors: kim jk, kim sy, kim yr. Tumour Biol. 2016 Feb;37(2):2285-97. doi: 10.1007/s13277-015-4033-7. Epub 2015 Sep 11. Tumour Biol. 2016. PMID: 26361955

6

Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.

Kim YR, Kim D, Kim SY. Kim YR, et al. Among authors: kim d, kim sy. Cancer Res Treat. 2019 Apr;51(2):672-684. doi: 10.4143/crt.2018.137. Epub 2018 Aug 10. Cancer Res Treat. 2019. PMID: 30092623 Free PMC article.

7

Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach.

Kim YR, Kim YW, Lee SE, Yang HW, Kim SY. Kim YR, et al. Among authors: kim sy, kim yw. Cancers (Basel). 2019 Jan 4;11(1):45. doi: 10.3390/cancers11010045. Cancers (Basel). 2019. PMID: 30621238 Free PMC article.

8

Endothelial cell senescence: A machine learning-based meta-analysis of transcriptomic studies.

Park HS, Kim SY. Park HS, et al. Among authors: kim sy. Ageing Res Rev. 2021 Jan;65:101213. doi: 10.1016/j.arr.2020.101213. Epub 2020 Nov 12. Ageing Res Rev. 2021. PMID: 33189866 Review.

9

Chronic treatment with ginsenoside Rg3 induces Akt-dependent senescence in human glioma cells.

Sin S, Kim SY, Kim SS. Sin S, et al. Among authors: kim ss, kim sy. Int J Oncol. 2012 Nov;41(5):1669-74. doi: 10.3892/ijo.2012.1604. Epub 2012 Aug 23. Int J Oncol. 2012. PMID: 22922739

10

Targeting biliverdin reductase overcomes multidrug resistance in leukemia HL60 cells.

Kim SS, Seong S, Lim SH, Kim SY. Kim SS, et al. Among authors: kim sy. Anticancer Res. 2013 Nov;33(11):4913-9. Anticancer Res. 2013. PMID: 24222129

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