A paper published in Cell highlights how researchers have leveraged AI-based computational protein design to create a novel ...

As a crucial node of the computing power development in Guizhou, the phase 2 supporting project for the ...

The objective of this study was to assess proteomic patterns of HFpEF phenogroups identified through a machine-learning-based clustering model, with the aim of uncovering specific biological pathways ...

When a cheeseburger costs less than a punnet of strawberries, it's clear the odds are stacked against healthy ...

At least 11 children in the U.S. have died from influenza-associated acute necrotizing encephalopathy since October 2023, a ...

Housing was front and center in leelanau county tuesday night -- as the suttons bay township planning commission discusses a potential 20-lot residential unit.i ...

Trajectory clustering is an essential task in spatial data mining. To address this problem, many previous studies either extended traditional clustering algorithms with spatial features of ...

Deep multi-modal clustering (DMC) expects to improve clustering performance by exploiting abundant information available from multiple modalities. However, different modalities usually have ...