Record added by Jurg Ott (the original Rockefeller list)
LAPlacian eigenfunctions learn population STRUCTure
LAPSTRUCT is a free program to describe population structure using biomarker data ( typically SNPs, CNVs etc.) available in a population sample. The main features different from PCA are: (1)geometrically motivated and graphic model based; (2)robustness of outliers.
Zhang, Niyogi, McPeek (2009), “Laplacian eigenfunctions learn population structure”, PLoS ONE, 4(12):e7928.