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 ...
QUT researchers have developed a pioneering mathematical framework to help "pick winners" and maximize limited funding and ...
A scaling law relates the expected number of mutants to the total population size of cells in a spatially constrained but ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...