The method receives as input the observed correlations between node pairs and uses a matrix transformation ... will help translate the abundant correlation data into insights about a system's ...

Statisticians use price data to find ... the degree of correlation in their price movements. This number can be used for constructing what is called a "correlation matrix" for different assets.

But the vibrant field of random matrix theory (RMT) has provided original solutions to this big data problem – and has droves of possible applications in econometrics, machine learning and for other ...

Figure 1: A general strategy for transcriptome–interactome correlation mapping. Figure 3: Transcriptome–interactome correlation maps for sporulation and cell-stress data sets (see legend of Fig.

We all know the truism “Correlation doesn’t imply causation,” but when we see lines sloping together, bars rising together, or points on a scatterplot clustering, the data practically begs ...