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Revised NOV 2024
Main Research Theme
Main Research Theme
Unraveling disease complexity by leveraging big data and machine learning, grounded in concrete biological assumptions.
Unraveling disease complexity by leveraging big data and machine learning, grounded in concrete biological assumptions.
The Systems Bioinformatics Laboratory at Kyung Hee University conducts research aimed at understanding biological phenomena under appropriately designed biological hypotheses by applying bioinformatics and systems biology approaches to biological omics big data. This includes computational statistical approaches such as the state-of-the-art machine learning and artificial intelligence techniques. Through these approaches, our lab aims to provide insights into solving biological challenges and complex diseases.
The Systems Bioinformatics Laboratory at Kyung Hee University conducts research aimed at understanding biological phenomena under appropriately designed biological hypotheses by applying bioinformatics and systems biology approaches to biological omics big data. This includes computational statistical approaches such as the state-of-the-art machine learning and artificial intelligence techniques. Through these approaches, our lab aims to provide insights into solving biological challenges and complex diseases.
Main Research Fields
Main Research Fields
Current Research Topics
Current Research Topics
Understanding the tumor immune microenvironment and metabolism
Understanding the tumor immune microenvironment and metabolism
Nature Reviews Cancer. 20, 516-531 (2020)
Multi-omics approach for identifying therapeutic targets in complex diseases
Multi-omics approach for identifying therapeutic targets in complex diseases
Nature Communications 15, 10164 (2024)
Clinical and Translational Medicine 11, e562 (2021)
Trends in Genetics. 39, 46-58 (2023)
Epigenetic insights into environmental influence on allergic diseases
Epigenetic insights into environmental influence on allergic diseases
The Journal of Allergy and Clinical Immunology. 150, 259-265 (2022)
Prediction of kinase phosphorylation in cell signaling
Prediction of kinase phosphorylation in cell signaling
Cell Systems. 10, 384-396 (2020)
Cell type-specific gene regulation and splicing in cancer
Cell type-specific gene regulation and splicing in cancer
Cacner Cell. 34, 211-224.e6 (2018)
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