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 ...

Older Pennsylvanians living in counties with large amounts of farmland and pesticide use are at increased risk of developing melanoma, according to a study published by researchers at the Penn State ...

A new study out of Penn State this month found a correlation in deadly melanoma rates in older populations and agriculture-heavy areas. Susan L. Angstadt / For Spotlight PA Authors of a new Penn State ...

Abstract: We propose a hierarchical correlation clustering method that extends the well-known correlation clustering to produce hierarchical clusters applicable to both positive and negative pairwise ...

Microsoft has resolved a known issue that triggers Cluster service and VM restart issues after installing July's Windows Server 2019 security updates. The company acknowledged the bug in a private ...

When using matplotlib, plotnine, or other Python plotting libraries, clearing plots in the plot pane does not work as expected. Previously cleared plots may reappear, and some earlier plots remain ...

When performing Spearman partial correlation analysis in JASP, I've observed an inconsistency in the generated scatter plot output. The software correctly calculates and labels the partial Spearman ...

NASA's James Webb Space Telescope recently zeroed in on the Bullet Cluster—delivering highly detailed images that show a greater abundance of extremely faint and distant galaxies than ever before.

Correctly distinguishing between correlation and causation is critical because it influences how treatments for illnesses are devised and tested. Also, in the context of the law, it ensures that as ...

Cluster computing is a method of setting up multiple computers so they can work together like a single system. Some cluster systems are massive machines that take up space in data centers. Others are ...

Lesion morphology and quantity evaluation in computer tomography (CT) images are critical for precise disease diagnosis. Most existing methods employ machine learning-based methods to separately ...