EVE combines evolutionary insights with human population data to identify damaging genetic mutations, improving variant ...

We propose a Variational Autoencoder-based image reconstruction through a multimode optical fiber. Simulations under bending conditions achieved 96% accuracy, demonstrating the feasibility even with ...

we propose a Hierarchical ST variational autoencoder (HiSTaR) to extract multi-level latent features of spots. HiSTaR tends to perform well in identifying spatial domains across multiple datasets from ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

The Arkansas Integrative Metabolic Research Center will host Aranyak Goswami, an assistant professor of computational biology with the U of A System Division of Agriculture, at 10:45 a.m. on Wednesday ...