A new computational approach enables integrative analysis of disparate single-cell RNA–sequencing data sets by identifying shared patterns of variation between cell subpopulations.

Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same ...

Real-world compositional data sets are often complex owing to high-dimensionality, heavy tails, and the possible existence of outliers. We consider a general class of elliptical distributions to model ...