ScaleData(object = pbmc_small, features = VariableFeatures(object = pbmc_small))

RunPCA(object = pbmc_small, features = VariableFeatures(object = pbmc_small),
verbose = FALSE)

BuildSNN(pbmc_small, features = VariableFeatures(object = pbmc_small))

FindClusters(object = pbmc_small, resolution = 1)

RunTSNE(object = pbmc_small, reduction = "pca", dims = 1:5,
perplexity = 5, check_duplicates = FALSE)

JackStraw(object = pbmc_small, dims = 10, num.replicate = 10)

ProjectDim(object = pbmc_small, reduction = "pca", verbose = FALSE)

FindVariableFeatures(object = pbmc_small, assay = "RNA",
selection.method = "vst", loess.span = 0.3, clip.max = "auto",
num.bin = 20, binning.method = "equal_width", nfeatures = 20,
mean.cutoff = c(0.1, 8), dispersion.cutoff = c(1, Inf), verbose = TRUE)