Mentors in Chromatin Structure and Gene Activity

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Jae  K.  Lee
Degree(s): Ph.D.
Graduate School: University of Wisconsin, Madison
Primary Appointment: Associate Professor of Public Health Sciences
Research Interests:
Genomic expression-based personalized chemotherapeutic response prediction; Integrative pathway modeling on atherosclerosis and cancer immunogenicity; Discovery of chemosensitivity biomarkers and novel chemotherapeutic compounds.
Website: http://myprofile.cos.com/jaeklee
Email Address: jkl7n@virginia.edu
Biomedical Sciences Graduate Program(s)
  • Structural, Computational Biology and Biophysics
  • Molecular Medicine
  • Biochemistry, Molecular Biology and Genetics

    • Research Description

    Dr. Lee has extensive experience in statistical research in molecular genetics and bioinformatics. He has worked on statistical approaches to genetic population inference, DNA structure analysis, high-throughput gene chip technologies, and linkage association study for human genetic diseases. He has also applied and developed computational statistical techniques to attack various challenging problems in molecular biology and cancer genetics. This includes anticancer gene-drug discovery on high throughput gene expression data and linkage association study for identifying quantitative trait loci of pedigree data. Dr. Lee's current interest is in the analysis of microarray gene expression data. Dr. Lee serves as Director of the UVA GeneChip/Microarray Bioinformatics Core (GMB), which provides statistical and bioinformatics support for the UVA researchers' microarray studies.

    Selected Publications

  • Cho H, Shashkin P, Jain N, Galkina E,Dunson D, Lee JK, Miller Y, and Ley K. (2006). Induction of Dendritic Cell-like Phenotype in Macrophages during Foam Cell Formation, Physiological Genomics, forthcoming.
  • Cho H and Lee JK. (2006). Response on the letter of Wu et al. (2006), Bioinformatics, June 20 web pre-publication (PMID: 16787972, Impact factor 6.019).
  • Jain N, Cho H, O'Connell M, and Lee JK (2005). Rank-Invariant Resampling Based Estimation of False Discovery Rate for Analysis of Small Sample Microarray Data. BMC Bioinformatics, 6:187, doi:10.1186 (PMID: 16042779, Impact factor 4.958).
  • Z. Wu, M. S. Siadaty, G. Riddick, W. Golden, H. F. Frierson, Jr, Lee JK, G. M. Hampton and D. Theodorescu (2006). A novel method for gene expression mapping of metastatic competence in human bladder cancer, Neoplasia, 8, 181-9 (PMID: 16611411, Impact factor 3.850).
  • PubMed Link for Faculty Member

    • Intranet Profile

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    Contact Information
      Office Address: PO Box 800717, Public Health Sciences, MSB 3181, 
      Office Phone: +1 434-982-1033
      Fax Phone: +1 434-243-5787
      Web Site: http://www.people.virginia.edu/~jkl7n/

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