All functions

abcam.neuronal.markers

A dataframe containing the abcam neuronal marker genes abcam.neuronal.markers

addEmbedding()

addEmbedding

addLabels()

Add cluster labels to a tSNE ggplot2 plot

cell.cycle.genes.whitfield.2002

A dataframe containing the gene symbols for each phase of the cell cycle. cell.cycle.genes.whitfield.2002

cellCyclePlot()

cellCyclePlot

clusterCenters()

clusterCenters

computeCC()

computeCC

constrainScale()

Constrain the scale of the plot to the dimensionality reduction limits

convertGenesBetweenSpeciesHomologs()

convertGenesBetweenSpeciesHomologs

convertGenesBetweenSymbolsAndID()

Convert between gene symbols and ENSEMBL gene IDs

correlateExpression()

Correlate expression

cytobox

cytobox: A toolbox for analyzing single cell RNA-seq data

drLims()

Get the limits of a the first two dimensions in a dimensionality reduction

ensembl2symbols()

Convert ENSEMBL gene IDs to gene symbols

fetchData()

fetchData

filterGenesSample()

filterGenesSample

findGenes()

findGenes

geneName()

geneName

getAllMarkers()

Title

getClusterColours()

Get a vector of cluster colours, optionally highlighting select clusters

getVarianceExplained()

getVarianceExplained

ggColours()

Get default ggplot2/Seurat colours

heatmapPercentMarkerOverlap()

Compute a heatmap of marker overlap between samples

hg2mm()

hg2mm

highlight()

Highlight select clusters on a dimensionality reduction plot

meanClusterExpression()

meanClusterExpression

meanGeneExpression()

meanGeneExpression

meanMarkerExpressionPerCell()

meanMarkerExpression

mm2hg()

mm2hg

noLegend()

Remove the legend in a ggplot

noTicks()

Remove axis ticks and tick labels from a ggplot

pairwiseVln()

pairwiseVln

pbmc

pbmc

percentMarkerOverlap()

percentMarkerOverlap

percentilesMarkerExpression()

perecentilesMarkerExpression

plot_dr() tsne() pca() umap() phate()

Plot a reduced dimensionality embedding for a Seurat object, colouring by cluster or arbitrary variables.

rotateX()

Rotate the x axis labels in a ggplot

selectMarkersRF()

Title

symbols2ensembl()

Convert gene symbols to ENSEMBL gene IDs

theme_min()

Apply a clean theme to a ggplot2 object

tsneByMeanMarkerExpression() feature()

Colour cells in t-SNE or PCA space by gene expression

tsneByPercentileMarkerExpression()

Colour cells in t-SNE space by percentile gene expression

vln()

Generate violin plots of gene expression in each cluster

vlnGrid()

Generate a grid of tiny violins of gene expression in each cluster

whichCells()

Retrieve cells in specified clusters