Traditional business intelligence solutions can’t scale to the degree necessary in today’s data environment. One solution getting a lot of attention recently: Hadoop, an open-source product inspired ...

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 ...

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 ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...

The NSF has awarded $5 million to a team of Indiana University Bloomington computer scientists working to improve how researchers across the sciences empower big data to solve problems. Led by IU ...

It is necessary to identify such new genes as biomarkers to aim to early detection of HCC. In other words, it may assist us in more accurate prediction of the progression of HCC. In other words, a ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

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 ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Data analysis can be traced back to as early as the days of the Ancient Egyptians started keeping statistical records while building the pyramids. Since then, data analysis have developed by leaps and ...