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Pull the PCA gene loadings matrix
PCALoad(object, dims.use = NULL, genes.use = NULL, use.full = FALSE)
Seurat object
Dimensions to include (default is all stored dims)
Genes to include (default is all genes)
Return projected gene loadings (default is FALSE)
PCA gene loading matrix for given genes and PCs
# NOT RUN {
pbmc_small
head(PCALoad(pbmc_small))
# Optionally, you can specify subsets of dims or genes to use
PCALoad(pbmc_small, dims.use = 1:5, genes.use = pbmc_small@var.genes[1:5])
# }
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