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 ...

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 — ...

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 & ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The Common Data Set Initiative is a collaborative effort among higher education data providers and publishers, including the College Board, Peterson’s, and US News & World Report. The purpose of the ...

This web site lists responses to survey questions pertaining to Purdue University’s main campus at West Lafayette. The questions are from the Common Data Set developed by a consortium of higher ...