Workshops and Conferences

Abstract: Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data. Although CNNs often outperform traditional statistical models in prediction accuracy, statistical inference such as estimating the effects of covariates and quantifying the prediction uncertainty is not trivial …

Abstract: A fundamental challenge in biology is the reconstruction of developmental trajectories as they divide and progress through different stages. The recent advance of CRISPR-based molecular tools, such as intMEMOIR and scGESTALT, have produced a new generation of techniques that enable the reconstruction of cell lineages of complex organisms at single-cell resolution. However, there are …

In this short presentation session, six researchers from IBS BIMAG present 10-minute talks. 4:00 -- 4:10, Hyeontae Jo 4:15 -- 4:25, Hyun Kim 4:30 -- 4:40, Aurelio de los Reyes V 4:45 -- 4:55, Yun Min Song 5:00 -- 5:10, Seokmin Ha 5:15 -- 5:25, Hyukpyo Hong