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Our research includes, but is not limited to, the following topics:
High-Throughput Gene Expression and Mutation Profiling in Cancer
Large scale genomic data analyses using multiple machine learning algorithms and statistical methods.
Algorithm Development for Disease Detection
Developing algorithms for detecting genome instability in Breast cancer, Ovarian cancer, and Prostate cancer.
Single-Cell analysis (Gene Expression & Immune Profiling)
Single-Cell profiling to help improve immunotherapy strategies using pulmonary metastatic model of murine melanoma.
Radiogenomics
Radiogenomic investigations for breast and gynecological cancers in order to understand tumor heterogeneity and discover image phenotypes of genetic variation.
Breast Cancer Global Project
Global breast cancer research investigates the role of immune checkpoint proteins for an effective treatment of breast cancer (Incheon National University, Korea University College of Medicine, Vanderbilt University School of Medicine (USA))
Epigenomics
Integrative analysis of genomic and epigenomic regulation for better understanding of the complex mechanisms driving the development and progression of psychiatric disorders.
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