Gene-set analysis of GWAS data can best be understood as an analysis using genes as data points, carrying out a test of the relationship between a gene set and the genetic associations of genes with a ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Neither LSTMs nor sentiment analysis are new, but combining them in a way that reportedly breaks records for sentiment analysis accuracy on commonly used benchmarking data sets is worth note — ...

AI is looking at mental health through data sets. A data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a ...

The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & ...