교수소개 교수소개 정보공개 방법 : 포털로그인→종합정보시스템→인사→자기소개등록 공개여부 체크
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교수소개
성 명 정진명
소속학부 (과) 데이터과학부 전공 생물정보학
이메일 jmjung@suwon.ac.kr 연구실 글로벌경상관 918호
연락처 031-229-8671 FAX 미설정
홈페이지 미설정
교수소개
학 력
  • 2002.3 - 2009.2   고려대학교 공학사 (전기전자공학부)
    2010.2 - 2012.2   한국과학기술원 공학석사 (로봇공학제)
    2012.3 - 2016.2   한국과학기술원 공학박사 (생물정보학)
경 력
  • 2016.2 - 2017.7   유전자동의보감 선임연구원
    2017.8 - 2018.2   수원대학교 경상대학 응용통계학과 조교수
    2018.3 - present   수원대학교 ICT융합대학 데이터과학부 조교수
연구관심분야
  •   Bioinformatics
      Network biology
      Big-data analysis
      Deep learning
주요논문 (최근 5년간)
  • * Corresponding Author(s),  Equal contribution

    << Ongoing research >>
     Exploring the underpinning mechanism of metastasis


    << Publication >>
    [ 2020 ~ 2021 ]

     Jung J, Hwang Y, Ahn H, Lee S*, Yoo S*: Precise Characterization of Genetic Interactions in Cancer via Molecular Network Refining Processes. International Journal of Molecular Sciences (2021)

     Jung J*: Characterizing therapeutic signatures of transcription factors in cancer by incorporating profiles in compound treated cells. Bioinformatics (2021). [free-access: https://bit.ly/3fstRxo]

     Yun H†, Kim D†, Lee E, Jung J*, Yoo S*: Analysis of the Effects of Nutrient Intake and Dietary Habits on Depression in Korean Adults. Nutrients (2021).

     Baek J, Jung J*: A Model-Free Control Scheme for Attitude Stabilization of Quadrotor Systems. Electronics (2020).

     Park S*, Jung J, Park J, Lee J, Park B, Kim H, Park J, Chae W, Jeong J, Choi S, Baek J: SWATH-MS analysis of cerebrospinal fluid to generate a robust battery of biomarkers for Alzheimer’s disease. Scientific Reports (2020).

    [ 2018 ~ 2019 ]
     Tak Y, Jeong H, Jung J*: Performance comparison among deep neural networks consisting of various constituents. Journal of the Korean Data Analysis Society (2019).

      Jung J, Kang Y, Paik H, Kwon M, Yu H, Lee D*: Deconvoluting essential gene signatures for cancer growth from genomic expression profiles in compound-treated cells.  Bioinformatics (2019).


      Jung J, Kwon M, Bae S, Yim S, Lee D*: Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy. BMC systems biology (2018).


    [ ~ 2017 ]
      Kwon M , Jung J, Yu H, Lee D*: HIDEEP: a systems approach to predict hormone impacts on drug efficacy based on effect paths. Scientific Reports (2017).
     
      Yu H Jung J, Yoon S, Kwon M, Bae S, Yim S, Lee J, Kim S, Kang Y, Lee D*: CODA: Integrating multi-level context-oriented directed associations for analysis of drug effects. Scientific Reports (2017).
     
      Yu H, Choo S, Park J, Jung J, Kang Y, Lee D*: Prediction of drugs having opposite effects on disease genes in a directed network. BMC systems biology (2016).
     
      Yoon S, Jung J, Yu H, Kwon M, Choo S, Park K, Jang D, Kim S, Lee D*: Context-based resolution of semantic conflicts in biological pathways. BMC medical informatics and decision making (2015).
     
      Kim C, Yang H, Fukushima Y, Saw PE, Lee J, Park J, Park I, Jung J, Kataoka H, Lee D*, Heo WD, Kim I, Jon S, Adams RH, Nishikawa S, Uemura A,  Koh G*: Vascular RhoJ is an effective and selective target for tumor angiogenesis and vascular disruption. Cancer Cell (2014).
     
      Jung J, Lee D*: Inferring disease association using clinical factors in a combinatorial manner and their use in drug repositioning. Bioinformatics (2013).


    << Project >>

     2021.2 ~ 2023.12 (식품의약품안전평가원, 공동연구원): 인공지능기반 건강기능식품 안전성 평가기술 개발 연구

     2019.9 ~ 2022.2 (한국연구재단 생애첫연구, 연구책임자): 유전체 발현 프로파일과 유전자 기능손실 데이터의 통합적 분석을 통한 합성치사 규명

     2018.6 ~ 2018.12 (수원여객운수, 공동연구원): 공공성 강화를 위한 수원시 버스 빅데이터 분석

     2018.1 ~ 2018.12 (수원대 학술진흥연구, 연구책임자): 약물 효능 정보와 단백질 신호전달 방법을 활용한 암의 치료 타깃 예측



    << Alumni >>
      탁유선 (석사: 2017.3 ~ 2019.2), CSPI(씨에스피아이)
강의분야
  •   Basic Python
      Basic Statistics
      Data Science Programming (numpy, pandas)
      Data Science Visualization (matplotlib)
      Deep learning framework using numpy
      Deep learning framework using keras
      Data Science 입문
저 서
  • 미설정