Triclustering algorithms offer a sophisticated approach to analysing gene expression data by simultaneously grouping genes, experimental conditions, and temporal points. These multidimensional methods ...

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...

As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm. While our personal and professional data is being compiled ...

Application developers like to think that they produce gems. Many do, but their handiwork is not immune to the ravages of obsolescence. Application fitness is fragile. Like any eroding asset, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

The Data Revolution is no longer a new topic but a reality trying to catch up with the expectations it has generated. The private sector is investing billions in new start-ups and technology companies ...