Given a time series or pseudotimes series of gene expression data, we might wish to know: Do the changes in gene expression in these data exhibit directionality? Are there turning points in this directionality. Do different subsets of the data move in different directions? This package uses spherical geometry to probe these sorts of questions. In particular, if we are looking at (say) the first n dimensions of the PCA of gene expression, directionality can be detected as the clustering of points on the (n1)dimensional sphere.
Package details 


Bioconductor views  BiologicalQuestion GeneExpression SingleCell StatisticalMethod 
Maintainer  
License  MIT + file LICENSE 
Version  0.99.12 
Package repository  View on GitHub 
Installation 
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