View source: R/markerGenesAndMapping.r
corTreeMapping | R Documentation |
Primary function for doing correlation-based mapping to cluster medians. This is wrapper for cor and returns a correlation matrix.
corTreeMapping(
mapDat,
medianDat,
dend = NULL,
refDat = NA,
clusters = NA,
genesToMap = rownames(mapDat),
use = "p",
method = "p"
)
mapDat |
normalized data of the MAPPING data set. Default is to map the data onto itself. |
medianDat |
representative value for each leaf and node. If not entered, it is calculated |
dend |
dendrogram for mapping. If provided, correlations to nodes are also returned |
refDat |
normalized data of the REFERENCE data set. Ignored if medianDat is passed |
clusters |
cluster calls for each cell. Ignored if medianDat is passed |
genesToMap |
which genes to include in the correlation mapping |
use |
additional parameter for cor (use='p' as default) |
method |
additional parameter for cor (method='p' as default) |
matrix with the correlation between expression of each cell and representative value for each leaf and node
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