컨텐츠 시작
학술대회/행사
초록검색
| 제출번호(No.) | 0259 |
|---|---|
| 분류(Section) | Special Session |
| 분과(Session) | (SS-21) Recent Progress in Mathematical Biology (SS-21) |
| 발표시간(Time) | 20th-D-13:00 -- 13:30 |
| 영문제목 (Title(Eng.)) |
Math + AI to shed light on black box of biological systems |
| 저자(Author(s)) |
Jae Kyoung Kim1 KAIST / IBS1 |
| 초록본문(Abstract) | Biological systems are complex dynamic networks. In this talk, I will introduce Density-PINN (Physics-Informed Neural Network), a method for inferring the shape of the time-delay distribution of interactions in a network. The inferred shape of time-delay distribution can be used to identify the number of pathways that induce a signaling response against antibiotics, which solves the long-standing mystery, the major source of cell-to-cell heterogeneity in response to stress. I will talk how to infer the dynamic information from just network structure information, which can be used to identify the targets (nodes) perturbing the homeostasis of the systems. |
| 분류기호 (MSC number(s)) |
92-10 |
| 키워드(Keyword(s)) | Inference, AI, PINN, modeling, signaling pathway |
| 강연 형태 (Language of Session (Talk)) |
Korean |