Kim SK - Search Results

1

Single Cell Analysis of Human Thyroid Reveals the Transcriptional Signatures of Aging.

Hong Y, Kim HJ, Park S, Yi S, Lim MA, Lee SE, Chang JW, Won HR, Kim JR, Ko H, Kim SY, Kim SK, Park JL, Chu IS, Kim JM, Kim KH, Lee JH, Ju YS, Shong M, Koo BS, Park WY, Kang YE. Hong Y, et al. Among authors: kim hj, kim jm, kim sy, kim jr, kim sk, kim kh. Endocrinology. 2023 Feb 11;164(4):bqad029. doi: 10.1210/endocr/bqad029. Endocrinology. 2023. PMID: 36791033

2

ADGO: analysis of differentially expressed gene sets using composite GO annotation.

Nam D, Kim SB, Kim SK, Yang S, Kim SY, Chu IS. Nam D, et al. Among authors: kim sb, kim sy, kim sk. Bioinformatics. 2006 Sep 15;22(18):2249-53. doi: 10.1093/bioinformatics/btl378. Epub 2006 Jul 12. Bioinformatics. 2006. PMID: 16837524

3

GAzer: gene set analyzer.

Kim SB, Yang S, Kim SK, Kim SC, Woo HG, Volsky DJ, Kim SY, Chu IS. Kim SB, et al. Among authors: kim sc, kim sy, kim sk. Bioinformatics. 2007 Jul 1;23(13):1697-9. doi: 10.1093/bioinformatics/btm144. Epub 2007 Apr 27. Bioinformatics. 2007. PMID: 17468122

4

Expression signature defined by FOXM1-CCNB1 activation predicts disease recurrence in non-muscle-invasive bladder cancer.

Kim SK, Roh YG, Park K, Kang TH, Kim WJ, Lee JS, Leem SH, Chu IS. Kim SK, et al. Among authors: kim wj. Clin Cancer Res. 2014 Jun 15;20(12):3233-43. doi: 10.1158/1078-0432.CCR-13-2761. Epub 2014 Apr 8. Clin Cancer Res. 2014. PMID: 24714775

5

A nineteen gene-based risk score classifier predicts prognosis of colorectal cancer patients.

Kim SK, Kim SY, Kim JH, Roh SA, Cho DH, Kim YS, Kim JC. Kim SK, et al. Among authors: kim sy, kim jc, kim ys, kim jh. Mol Oncol. 2014 Dec;8(8):1653-66. doi: 10.1016/j.molonc.2014.06.016. Epub 2014 Jul 4. Mol Oncol. 2014. PMID: 25049118 Free PMC article.

6

APPEX: analysis platform for the identification of prognostic gene expression signatures in cancer.

Kim SK, Hwan Kim J, Yun SJ, Kim WJ, Kim SY. Kim SK, et al. Among authors: kim wj, kim sy. Bioinformatics. 2014 Nov 15;30(22):3284-6. doi: 10.1093/bioinformatics/btu521. Epub 2014 Aug 4. Bioinformatics. 2014. PMID: 25091586

7

The c-MET Network as Novel Prognostic Marker for Predicting Bladder Cancer Patients with an Increased Risk of Developing Aggressive Disease.

Kim YW, Yun SJ, Jeong P, Kim SK, Kim SY, Yan C, Seo SP, Lee SK, Kim J, Kim WJ. Kim YW, et al. Among authors: kim wj, kim sy, kim sk, kim j. PLoS One. 2015 Jul 30;10(7):e0134552. doi: 10.1371/journal.pone.0134552. eCollection 2015. PLoS One. 2015. PMID: 26225770 Free PMC article.

8

Activation of EZH2 and SUZ12 Regulated by E2F1 Predicts the Disease Progression and Aggressive Characteristics of Bladder Cancer.

Lee SR, Roh YG, Kim SK, Lee JS, Seol SY, Lee HH, Kim WT, Kim WJ, Heo J, Cha HJ, Kang TH, Chung JW, Chu IS, Leem SH. Lee SR, et al. Among authors: kim wj, kim sk, kim wt. Clin Cancer Res. 2015 Dec 1;21(23):5391-403. doi: 10.1158/1078-0432.CCR-14-2680. Epub 2015 Aug 12. Clin Cancer Res. 2015. PMID: 26268246

9

A Database of Gene Expression Profiles of Korean Cancer Genome.

Kim SK, Chu IS. Kim SK, et al. Genomics Inform. 2015 Sep;13(3):86-9. doi: 10.5808/GI.2015.13.3.86. Epub 2015 Sep 30. Genomics Inform. 2015. PMID: 26523133 Free PMC article.

10

Complex Behavior of ALDH1A1 and IGFBP1 in Liver Metastasis from a Colorectal Cancer.

Kim JC, Ha YJ, Tak KH, Roh SA, Kim CW, Kim TW, Kim SK, Kim SY, Cho DH, Kim YS. Kim JC, et al. Among authors: kim tw, kim cw, kim sy, kim sk, kim ys. PLoS One. 2016 May 6;11(5):e0155160. doi: 10.1371/journal.pone.0155160. eCollection 2016. PLoS One. 2016. PMID: 27152521 Free PMC article.

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