Find Significant Principal Components

This helper function identifies the number of significant principal components (PCs) based on their standard deviations. It uses a heuristic approach to determine where the standard deviations significantly change. This method is based on the work of Linderman et al. (2022).

Usage

find.significant.pcs(sd)

Arguments

sd

A numeric vector of standard deviations of PCs.

References

Linderman, G. C., Zhao, J., Roulis, M., Bielecki, P., Flavell, R. A., Nadler, B., & Kluger, Y. (2022). Zero-preserving imputation of single-cell RNA-seq data. Nature Communications, 13(1), 192. doi:10.1038/s41467-021-27923-7