Research output per year
Research output per year
Personal profile
In Korean
정인욱 교수(IT대학 컴퓨터학부)
Education
o (2005) B.A., University of Canterbury, New Zealand
o (2007) M.A., Yonsei University, Republic of Korea
o (2017) Ph.D., Seoul National University, Republic of Korea
o (2007) M.A., Yonsei University, Republic of Korea
o (2017) Ph.D., Seoul National University, Republic of Korea
Professional Experience
o (2019~Present) Assistant Professor, Kyungpook National University, Daegu
o (2018~2019) Postdoctoral Researcher, Seoul National University, Seoul
o (2007~2011) Researcher, LG Electronics, Seoul
o (2018~2019) Postdoctoral Researcher, Seoul National University, Seoul
o (2007~2011) Researcher, LG Electronics, Seoul
Research Interests
Bioinformatics, Data science, Machine Learning, Artifical Intelligence, Time-series analysis, Transcriptomics analysis, Multi-omics analysis
Major Research Achievements
o Multi-omics analysis of a large COVID-19 cohort
o Development of time-series pattern mining method
o Development of integrative multi-omics analysis method
o Development of density based clustering analysis for piRNA detection
o Development of time-series pattern mining method
o Development of integrative multi-omics analysis method
o Development of density based clustering analysis for piRNA detection
url
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets
Han, E., Kwon, H. & Jung, I., Dec 2025, In: BMC Genomics. 26, 1, 769.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Dihydrotestosterone-androgen receptor signaling suppresses EBV-positive gastric cancer through DNA demethylation-mediated viral reactivation
Cho, M., Byun, H., Lee, S. H., Youn, S., Jung, I., Jung, J., Lee, J., Cho, H. & Kang, H., Sep 2025, In: Gastric Cancer. 28, 5, p. 776-798 23 p.Research output: Contribution to journal › Article › peer-review
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EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning
Jeon, J., Yu, S., Lee, S., Kim, S. C., Jo, H. Y., Jung, I. & Kim, K., 1 Mar 2025, In: Bioinformatics. 41, 3, btaf080.Research output: Contribution to journal › Article › peer-review
Open Access -
Identifying AC Control Patterns From a Massive Longitudinal Log Dataset Using Deep Clustering
Bae, S., Kim, D., Seong, S., Jang, J., Suh, Y. K., Kim, H., Han, D. & Jung, I., 2025, In: IEEE Access. 13, p. 56195-56209 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis
Bae, S. H., Kim, D., Jang, J., Kim, A. S., Hwang, S., Nam, E., Bae, S., Lee, J. Y., Kim, J. S., Kim, S. C., Jo, H. Y., Kim, K., Jung, I. & Kwon, K. T., Dec 2025, In: Scientific Reports. 15, 1, 21098.Research output: Contribution to journal › Article › peer-review
Open Access