Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

Abstract: Variable selection for genome-wide association studies (GWAS) has been a major research focus for decades. With the exponential growth of biological and biomedical data in the era of big ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: The remaining useful life (RUL) prediction of rolling element bearings has attracted substantial attention recently due to its importance for the bearing health management. The exponential ...

Data-driven universality distance for finite-size surface growth dynamics. An unsupervised anomaly detection approach that provides a continuous, quantitative metric of universality class ...