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 |