Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
library(gridExtra)
## ---- message = FALSE---------------------------------------------------------
library(corral)
library(SingleCellExperiment)
library(ggplot2)
library(DuoClustering2018)
zm4eq.sce <- sce_full_Zhengmix4eq()
## -----------------------------------------------------------------------------
zm4eq.sce
table(colData(zm4eq.sce)$phenoid)
## -----------------------------------------------------------------------------
zm4eq.sce <- corral(inp = zm4eq.sce,
whichmat = 'counts')
zm4eq.sce
## -----------------------------------------------------------------------------
plot_embedding_sce(sce = zm4eq.sce,
which_embedding = 'corral',
plot_title = 'corral on Zhengmix4eq',
color_attr = 'phenoid',
color_title = 'cell type',
saveplot = FALSE)
## -----------------------------------------------------------------------------
library(scater)
library(gridExtra) # so we can arrange the plots side by side
zm4eq.sce <- runUMAP(zm4eq.sce,
dimred = 'corral',
name = 'corral_UMAP')
zm4eq.sce <- runTSNE(zm4eq.sce,
dimred = 'corral',
name = 'corral_TSNE')
ggplot_umap <- plot_embedding_sce(sce = zm4eq.sce,
which_embedding = 'corral_UMAP',
plot_title = 'Zhengmix4eq corral with UMAP',
color_attr = 'phenoid',
color_title = 'cell type',
returngg = TRUE,
showplot = FALSE,
saveplot = FALSE)
ggplot_tsne <- plot_embedding_sce(sce = zm4eq.sce,
which_embedding = 'corral_TSNE',
plot_title = 'Zhengmix4eq corral with tSNE',
color_attr = 'phenoid',
color_title = 'cell type',
returngg = TRUE,
showplot = FALSE,
saveplot = FALSE)
multiplot(ggplot_umap, ggplot_tsne, cols = 2)
## -----------------------------------------------------------------------------
zm4eq.countmat <- assay(zm4eq.sce,'counts')
zm4eq.countcorral <- corral(zm4eq.countmat)
## -----------------------------------------------------------------------------
zm4eq.countcorral
## -----------------------------------------------------------------------------
celltype_vec <- colData(zm4eq.sce)$phenoid
plot_embedding(embedding = zm4eq.countcorral$v,
plot_title = 'corral on Zhengmix4eq',
color_vec = celltype_vec,
color_title = 'cell type',
saveplot = FALSE)
## -----------------------------------------------------------------------------
sessionInfo()
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