서울대학교 생물정보학 협동과정 주최로 특별 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

일시: 2015년 12월 02일 수요일 오전 11시

연사: 최형석 (LG전자)

장소: 서울대학교 25동 411호

Title: Development of microRNA biomarkers for noninvasive early detection of pancreatic cancer

Abstract

Early detection of pancreatic cancer is very difficult because it shows little symptoms in the early stage. It is important to develop specific and noninvasive biomarkers for pancreatic cancer diagnosis, especially for the early-stage tumors. Blood serum samples of 89 pancreatic cancer patients and 20 healthy controls were used in the case-control study. For specificity of marker, we also include blood serum samples of 45 patients with other cancers in control. We identified 189 differentially expressed miRNAs through the logistic regression in FDR 0.01. Among them, we selected 23 miRNA markers through penalized support vector machine of SCAD penalty and build an early diagnosis model for pancreatic cancer using support vector machine. From 100 repetition of 10-fold nested cross validation, average sensitivity and specificity were calculated as 0.95 and 0.92, respectively, which showed greater performance than previous biomarkers for pancreatic cancer diagnosis.

Education

Ph.D., Interdisciplinary Program in Bioinformatics, Aug 2008, Seoul National University, Korea

B.S., Microbiology, Feb 1998, Hankuk University of Foreign Studies, Korea

Experience

Dec 2010-present: Chief Research Engineer, LG Electronics, Seoul, Korea

Jan 2009-Dec 2010: Postdoctoral fellow, Ewha Research Center for Systems Biology, Seoul, Korea

Sep 2008-Dec 2008: Postdoctoral fellow, National Cancer Center, Goyang, Korea

Recent Publications

1. J.-R. Kim, S.-M. Choo, H.-S.Choi,andK.-H.Cho,"Identification of gene networks with time delayed regulation based on temporal expression profiles", IEEE/ACM Transactionson Computational Biology and Bioinformatics, Vol.12,Issue5,pp.1161-8,Sep.2015.2.

2. H.-S.Choi, "Systematic Integrative Analysis of Heterogeneous Bio Big Data for Identification of Disease-causing Gene Network", Communications of KIISE, Vol.31,No.8,Aug.2013.

3. J. Lee, E. K. Noh, H.-S.Choi, S.C.Shin, H.Park, and H.Lee, “Transcriptome sequencing of the Antarctic vascular plant Deschampsia antarctica Desv. under abiotic stress”, Planta, Vol.237,No.3,pp.823-36,Mar.2013.

4. H.S.Choi, Y.C.Kim, K.-H.Cho, and T.park, "Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks", International Journal of Data Mining and Bioinformatics, Vol.7,No.1,pp.38-57,Jan.2013.

5. H.-S. Eo, J. Y. Heo, Y. Choi, Y. Hwang, and H.-S.Choi, “A pathway-based classification of breast cancer integrating data on differentially expressed genes, copy number variations and microRNA target genes”, Molecules and cells, Vol.34,Issue4,pp.393-8,Oct.2012.

생물정보학 협동과정 주최