Principal component analysis (PCA) of E. melliodora and E. sideroxylon.SNPs for both populations were called using both reference genomes. Merging all SNPs for the E. melliodora reference, PCA was per
Tab-delimited text file containing the cqn normalized and log2 transformed gene expression counts (using the conditional quantile normalization method) for 14,289 genes in 13 virginia opossum individu
The columns indicate the affected principal component. The rows contain the lipid species sorted by their discriminative contribution to the separation to the sample groups. Species supporting separat
The data package for the Ph.D. thesis titled <i>Simplifying Imputation with Many Predictors in MICE Using Principal Component Analysis</i> written by Edoardo Costantini.
