| 구분 |
학과 세미나/콜로퀴엄 |
| 분류 |
Topology, Geometry, and Data Analysis |
| 제목 |
Topological Data Analysis with two applications: Tumor Microenvironment and D Chromatography with High-Resolution Mass Spectrometry |
| Abstract |
Topological Data Analysis (TDA) has emerged as a powerful framework for uncovering meaningful structure in high-dimensional, complex datasets. In this talk, we present two applications of TDA in analyzing patterns, one in the tumor microenvironment (TME) and the other in high-resolution chemical profiling. In the first case, we develop a TDA-based framework to quantify malignant-immune cell interactions in Diffuse Large B Cell Lymphoma using multiplex immunofluorescence imaging. By introducing Topological Malignant Clusters (TopMC) and leveraging persistence diagrams, we capture both global infiltration patterns and local density-based features. This robust approach enables consistent prognostic assessment regardless of tumor region heterogeneity and reveals correlations with patient survival. In the second application, we utilize the Ball Mapper algorithm to simplify and visualize high-dimensional data obtained from 2D Chromatography with high-resolution mass spectrometry. This enables interpretable chemical profiling of complex mixtures and supports tasks such as sample authentication and environmental analysis. Together, these studies demonstrate the versatility and interpretability of TDA for extracting biologically and chemically meaningful information. |
| 일시 |
2025-08-14
(Thu) / 14:00 ~ 16:00 ** 날짜에 유의하세요. ** |
| 장소 |
산업경영학동(E2) Room 1223 |
| 강연언어 |
한국어 |
| 강연자성명 |
한주영 |
| 강연자소속 |
Czech Technical University in Prague, 소프트웨어 공학과 |
| 강연자홈페이지 |
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| 기타정보 |
https://scholar.google.com/citations?user=4w2vNhcAAAAJ&hl=en |
| 초청인 |
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| URL |
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| 담당자 |
김우진 |
| 연락처 |
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