Profile Photo of Min Oh

Min Oh

Curriculum Vitae: PDF
(Last Update: 10/03/2018)

News

11/30/2018: My research proposal has been approved for seed grant funding!
05/29/2018: I started working at Microsoft Research as a research intern for the following three months.
04/24/2018: I have earned PhD candidacy by passing qualification process.
04/24/2018: MetaCompare paper has been accepted to FEMS Microbiology Ecology.

About Me

I am a 3rd-year Ph.D. Candidate in Deptartment of Computer Science at Virginia Tech, advised by Professor Liqing Zhang. My research interests lie in machine learning applications for human health and biological problems.

During two summers in 2017 and 2018, I worked for Microsoft Research (Genomics Team in Healthcare NExT Group) as a research intern under supervision of Dr. Erdal Cosgun (May - August 2017 and 2018).

Before came to Virginia Tech, I was a research associate in the Data mining & Bioinformatics Laboratory where my advisor was Professor Youngmi Yoon (Mar 2015 - Aug 2016) and I received my bachelor's degree in Computer Engineering (Feb 2015) at Gachon University, South Korea.

Publications

(Google scholar profile)

    Peer-Reviewed Journals
  1. MetaCompare: A Computational Pipeline for Prioritizing Environmental Resistome Risk
    Min Oh, Amy Pruden, Chaoqi Chen, Lenwood Heath, Kang Xia, Liqing Zhang
    FEMS Microbiology Ecology 94.7 (2018): fiy079
  2. Systematic identification of differential gene network to elucidate Alzheimer's disease
    Chihyun Park, Youngmi Yoon, Min Oh, Yu Seok Jong, Jaegyoon Ahn
    Expert Systems with Applications 85 (2017): 249-260
  3. Identifying the common genetic networks of ADR (adverse drug reaction) clusters and developing an ADR classification model
    Youhyeon Hwang, Min Oh, Giup Jang, Taekeon Lee, Chihyun Park, Jaegyoon Ahn, Youngmi Yoon
    Molecular BioSystems 13 (2017): 1788-1796
  4. Drug Voyager: A Computational Platform for Exploring Unintended Drug Action
    Min Oh, Jaegyoon Ahn, Taekeon Lee, Giup Jang, Chihyun Park and Youngmi Yoon
    BMC Bioinformatics 18.1 (2017): 131
  5. Construction and Comparison of Drug-Disease Pathway Network for Drug Repositioning
    Soyoun Hwang, Youhyeon Hwang, Min Oh, Youngmi Yoon
    Journal of Korean Institute of Information Technology (JKIIT) 14.9 (2016): 119-129
  6. Novel Drug Similarity Measuring Method based on Text Mining for Predicting Similar Drugs
    Giup Jang, Youhyeon Hwang, Min Oh, Taekeon Lee, Youngmi Yoon
    Journal of Korean Institute of Information Technology (JKIIT) 14.7 (2016): 127-137
  7. Target Prediction Based On PPI Network
    Taekeon Lee, Youhyeon Hwang, Min Oh, and Youngmi Yoon
    Journal of the Korea Society of Computer and Information 21.3 (2016): 65-71
  8. Extraction of Specific Common Genetic Network of Side Effect Pair, and Prediction of Side Effects for a Drug Based on PPI Network
    Youhyeon Hwang, Min Oh, and Youngmi Yoon
    Journal of the Korea Society of Computer and Information 21.1 (2016): 115-123
  9. Identification of Prognosis-specific Network and Prediction for Estrogen Receptor-negative Breast Cancer Using Microarray Data and PPI Data
    Youhyeon Hwang, Min Oh and Youngmi Yoon
    Journal of the Korean Society of Computer and Information 20.2 (2015): 137-147
  10. Classification of Molecular Sub-types of Breast Cancer Using Integrated Gene Expression Data
    Jeeyeon Lee, Min Oh, Youhyeon Hwang and Youngmi Yoon
    Journal of Korean Institute of Information Technology (JKIIT) 13.2 (2015): 163-173
  11. A Network-Based Classification Model for Deriving Novel Drug-Disease Associations and Assessing Their Molecular Actions
    Min Oh, Jaegyoon Ahn, and Youngmi Yoon
    Plos One 9.10 (2014): e111668
  12. Drug-Repositioning Based on Distance Features on the PPI Network
    Min Oh and Youngmi Yoon
    Journal of Korean Institute of Information Technology (JKIIT) 11.12 (2013): 205-211

Talks