POPULATION-STRUCTURE STATISTICS FOR PRIVACY-PRESERVING DATA ANALYSIS
POPULATION-STRUCTURE STATISTICS FOR PRIVACY-PRESERVING DATA ANALYSIS
An example method can include applying, on or by the first computer, a trained principal component analysis (PCA) model to the samples of a first dataset to provide a PCA output. The method can also include generating metadata based on the PCA output, sending the metadata from the first computer to a second computer. The method can also include receiving cluster data at the first computer, in which the cluster data is determined by second computer to define a measure of relatedness among the samples in at least the first dataset based on the metadata from the first computer and other metadata from at least one other computer.