A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...

There is a pattern emerging from recent work in pure mathematics that deserves more attention from financial technologists ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

As we drove through southwest Memphis, KeShaun Pearson told me to keep my window down—our destination was best tasted, not viewed. Along the way, we passed an abandoned coal plant to our right, then ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to handle unprecedented scales of genetic information. The ...