## ----------------------------------------------------------------------------- library(igraph) library(SIMLR) ## ----------------------------------------------------------------------------- set.seed(11111) data(BuettnerFlorian) example = SIMLR(X = BuettnerFlorian$in_X, c = BuettnerFlorian$n_clust, cores.ratio = 0) ## ----------------------------------------------------------------------------- nmi_1 = compare(BuettnerFlorian$true_labs[,1], example$y$cluster, method="nmi") print(nmi_1) ## ----fig.width=12, fig.height=8, warning=FALSE, fig.cap="Visualization of the 3 cell populations retrieved by SIMLR on the dataset by Florian, et al."---- plot(example$ydata, col = c(topo.colors(BuettnerFlorian$n_clust))[BuettnerFlorian$true_labs[,1]], xlab = "SIMLR component 1", ylab = "SIMLR component 2", pch = 20, main="SIMILR 2D visualization for BuettnerFlorian") ## ----------------------------------------------------------------------------- set.seed(11111) ranks = SIMLR_Feature_Ranking(A=BuettnerFlorian$results$S,X=BuettnerFlorian$in_X) head(ranks$pval) head(ranks$aggR) ## ----------------------------------------------------------------------------- set.seed(11111) data(ZeiselAmit) example_large_scale = SIMLR_Large_Scale(X = ZeiselAmit$in_X, c = ZeiselAmit$n_clust, kk = 10) ## ----------------------------------------------------------------------------- nmi_2 = compare(ZeiselAmit$true_labs[,1], example_large_scale$y$cluster, method="nmi") print(nmi_2) ## ----fig.width=12, fig.height=8, warning=FALSE, fig.cap="Visualization of the 9 cell populations retrieved by SIMLR large scale on the dataset by Zeisel, Amit, et al."---- plot(example_large_scale$ydata, col = c(topo.colors(ZeiselAmit$n_clust))[ZeiselAmit$true_labs[,1]], xlab = "SIMLR component 1", ylab = "SIMLR component 2", pch = 20, main="SIMILR 2D visualization for ZeiselAmit") ## ----------------------------------------------------------------------------- set.seed(53900) NUMC = 2:5 res_example = SIMLR_Estimate_Number_of_Clusters(BuettnerFlorian$in_X, NUMC = NUMC, cores.ratio = 0) ## ----------------------------------------------------------------------------- NUMC[which.min(res_example$K1)] ## ----------------------------------------------------------------------------- NUMC[which.min(res_example$K2)] ## ----------------------------------------------------------------------------- res_example