pearson.pairwise: Calculate pairwise correlation coefficient
In amcdavid/SingleCellAnalysis: Tools for Analysis of Zero-Inflated, Continuous Data
Description
Usage
Arguments
Value
Description
Calculates the correlation coefficient between each pair of genes on the
dichotomous level.
The diagonal is set to zero to avoid having the fisher transform blow up.
Usage
1
pearson.pairwise(sc, diagonals = "zero", partial = FALSE)
Arguments
sc
SingleCellAssay object
diagonals
currently ignored
partial
adjust for ngeneson
Value
a PairwisePearson object, which is a matrix with slots "nsamp" giving the number of cells the cor. coef. were calculated over, "npos" giving the number of expressed cells in each gene.
amcdavid/SingleCellAnalysis documentation built on May 10, 2019, 10:27 a.m.
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Description Usage Arguments Value
Description
Calculates the correlation coefficient between each pair of genes on the dichotomous level. The diagonal is set to zero to avoid having the fisher transform blow up.
Usage
1 | pearson.pairwise(sc, diagonals = "zero", partial = FALSE)
|
Arguments
sc |
SingleCellAssay object |
diagonals |
currently ignored |
partial |
adjust for ngeneson |
Value
a PairwisePearson object, which is a matrix with slots "nsamp" giving the number of cells the cor. coef. were calculated over, "npos" giving the number of expressed cells in each gene.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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