In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Two deep-learning frameworks — GHIST and iSCALE — turn routine histology images into a rich molecular resource, and predict spatial gene expression at single-cell resolution (GHIST) and at ...

Abstract: In solving for frequency-domain seismic wavefields, traditional numerical methods, such as frequency-domain finite difference (FDFD), require multiple computations for each fixed frequency.

The demand for sophisticated biologics is soaring, but discovery pipelines often lag. Many biopharmaceutical companies struggle to discover and optimize next-generation biologics such as bispecific ...

Genetics research in Parkinson's disease has identified over 100 risk loci, yet translating these findings into understanding ...

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The hardware source information and related materials of this project are licensed under the OpenAtom Open Hardware License, Version 1.0. The Realman Two-Finger Parallel Gripper is designed to provide ...

This work is a important resource for hypothesis testing of candidate upstream transcriptional regulatory factors that control the spatiotemporal expression of selector genes and their targets for ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...

Abstract—Morphogenesis and developmental remodeling of cardiovascular tissues involve coordinated regulation of cell proliferation and apoptosis. In the heart, clear evidence points toward focal ...