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Biomedical Mathematics Group

Biomedical Mathematics Group

기초과학연구원 의생명수학그룹

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Papers : 2023
Hyeontae Jo†, Hyukpyo Hong†, Hyung Ju Hwang, Won Chang, Jae Kyoung Kim*, Density physics-informed neural network reveals sources of cell heterogeneity in signal transduction, Patterns, 2023
doi10.1016/j.patter.2023.100899Last update: January 1, 2024

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Previous PostPrevious Seokjoo Chaea,b, Dae Wook Kimc, Oleg A. Igoshind,e,f,g, Seunggyu Leeb,h and Jae Kyoung Kima,b Beyond microtubule: Cellular environment at the endoplasmic reticulum attracts proteins to the nucleus, essential for nuclear transport
Next PostNext Circadian regulation of sinoatrial nodal cell pacemaking function: dissecting the roles of autonomic control, body temperature, and local circadian rhythmicity

Recent Posts

  • U Jin Choi gave a talk titled “Simulation-Free Schrodinger Bridges Via Score and Flow Matching (by Tong et al, AISTATS 2024)” at the IBS Biomedical Mathematics Seminar
  • Myna Lim gave a talk on “Data splitting to avoid information leakage with DataSAIL”
  • Dr. Shingo Gibo gave a poster presentation at the 2025 Hibernation Biology 2.0, Annual Meeting in Japan
  • Aqsa gave a talk on “Large language models for scientific discovery in molecular property prediction”
  • Recent work by BIMAG members on the efficient and precise estimation of inhibition constants has been featured in various Korean media outlets. BIMAG 연구진의 효율적이고 정밀한 저해 상수 추정에 대한 최근 연구가 다양한 한국 언론에 보도되었습니다.
IBS 의생명수학그룹 Biomedical Mathematics Group
기초과학연구원 수리및계산과학연구단 의생명수학그룹
대전 유성구 엑스포로 55 (우) 34126
IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
55 Expo-ro Yuseong-gu Daejeon 34126 South Korea
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