• Hyun Kim

    Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

    TBD

  • Abbas Abbasli and Hyeongjun Jang

    Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

    Abbas Abbasli: Accurate prediction of in-vivo drug interaction mediated by cytochrome P450 inhibition Hyeongjun Jang: Comparison of the inhibition constant approximation methods

  • Hyukpyo Hong and Seokmin Ha

    Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

    Hyukpyo Hong: Advancing Infectious Disease Modeling: Estimating Reproduction Number with Realistic Latent and Infectious Periods Seokmin Ha: Systematic inference-driven experiments reveal a fundamental mechanism governing clock protein interactions in plants

  • Hyun Kim, scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching

    B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

    We will discuss about “scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching”, Karin, Jonathan, Yonathan Bornfeld, and Mor Nitzan., Nature Biotechnology (2023): 1-10. Abstract Single-cell

  • Yun Min Song and Seokjoo Chae

    Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

    Yun Min Song: Noisy delay denoises biochemical oscillators Seokjoo Chae: Reduction of spatiotemporal model and its validity condition

  • Dongju Lim and Olive Cawiding

    Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

    Dongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information Olive Cawiding: Detecting causality between weather variables and dengue cases in the Philippines    

  • Jonathan Rubin, Multiple timescale modeling for neural systems

    B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

    Abstract Mathematical models of biological systems, including neurons, often feature components that evolve on very different timescales. Mathematical analysis of these multi-timescale systems can be greatly simplified by partitioning them

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IBS Biomedical Mathematics Group (BIMAG)
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