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Minsik Oh

Computer Science, Bioinformatics

Interests

  • Basketball
  • Badminton
  • Coffee
  • Competitive programming / Problem solving

Summary

I’m currently an Assistant Professor of School of Software Convergence at Myongji University. I received a Ph.D in Computer Science & Engineering from Seoul National University with focusing on bioinformatics. My main research area is multi-omics integrative analysis for investgating cell state in terms of gene expression regulation. I have focused on developing multi-omics integration algorithms and tools using machine learning, network analysis, reinforcement learning and causal inference to investigate gene regulation mechanisms.

Education

Ph.D in Computer Science & Engineering

2015 - 2021
Seoul National University

Advisor: Professor Sun Kim

BSc in Computer Science & Engineering

2011 - 2015
Seoul National University

Awards

SNU BK21 Star Researcher Award

Feb. 2021
BK21 FOUR Intelligence Computing, Seoul National University

NAVER PhD Fellowship Award

Nov. 2020
NAVER

Outstanding Abstract Session

Nov. 2020
46th Annual Meeting of Korean Cancer Association & 6th International Cancer Conference

Abstract Title: Investigating personalized cancer drug response at the molecular level using DRIM, a web-based integrative system.

5th place

Oct. 2017
KaKao

2017 KaKao Code Festival

7th place

Nov. 2013
ACM-ICPC

The 2013 ACM-ICPC Asia Daejeon Regional Contest
Team name: Doodoomchit

5th place

Nov. 2012
ACM-ICPC

The 2012 ACM-ICPC Asia Daejeon Regional Contest
Team name : MinsikLove

Publications

Adipocyte HIF2α functions as a thermostat via PKA Cα regulation in beige adipocytes
Ji Seul Han, Yong Geun Jeon, Minsik Oh, Gung Lee, Hahn Nahmgoong, Sang Mun Han, Ye Young Kim, Kyung Cheul Shin, Jiwon Kim, Kyuri Jo, Sung Sik Choe, Eun Jung Park, Sun Kim, and Jae Bum Kim
Nature Communications 13.1 (2022): 1-16., (SCIE, IF=14.919)
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data
Hongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, and Sun Kim
IEEE Big Data 2021 Workshops KDDBHI.
mirTime: Identifying Condition-Specific Targets of MicroRNA in Time-series Transcript Data using Gaussian Process Model and Spherical Vector Clustering
Hyejin Kang, Honhryul Ahn, Kyuri Jo, Minsik Oh and Sun Kim
Bioinformatics, 37(11), 2021, (SCIE, IF=6.937)
Construction of Condition-Specific Gene Regulatory Network using Kernel Canonical Correlation Analysis
Dabin Jeong, Sangsoo Lim, Sangseon Lee, Minsik Oh, Changyun Cho, Hyeju Seong, Woosuk Jung and Sun Kim
Frontiers in Genetics 12, 572, 2021, (SCIE, IF=4.599)
Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations
Minsik Oh, Sungjoon Park, Sun Kim and Heejoon Chae
Briefings in Bioinformatics, 22(1), 66-76, 2021, (SCIE, IF=11.622)
DRIM: A web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration
Minsik Oh, Sungjoon Park, Sangseon Lee, Dohoon Lee, Sangsoo Lim, Dabin Jeong, Kyuri Jo, Inuk Jung and Sun Kim
Frontiers in Genetics 11, 1053, 2020, (SCIE, IF=4.599)
DeepFam: deep learning based alignment-free method for protein family modeling and prediction
Seokjun Seo, Minsik Oh, Youngjune Park and Sun Kim
Bioinformatics, 34(13), 2018, (SCI, IF=4.531)
miRTarVis+: Web-based interactive visual analytics tool for microRNA target predictions
Sehi L'Yi, Daekyoung Jung, Minsik Oh, Bohyoung Kim, Robert J Freishtat, Mamta Giri, Eric Hoffman and Jinwook Seo
Methods, 124, 2017, (SCI, IF=3.998)
Literature-based condition-specific miRNA-mRNA target prediction
Minsik Oh, Sungmin Rhee, Ji Hwan Moon, Heejoon Chae, Sunwon Lee, Jaewoo Kang and Sun Kim
PloS one, 12(3), 2017, (SCIE, IF=2.766)
BioVLAB-Cloud-based Bioinformatics Analysis Workbench
서석준, 오민식, 정인욱, 채희준, 김선
한국정보과학회, 정보과학회논문지, 31(3), 2013

Skills & Proficiency

C / C++

Python

Machine Learning / Data Mining

Data structure / Algorithm