xCellSignifcanceBetaDist: Calculate Significance P-values Using Beta Distribution
In IOBR: Immune Oncology Biological Research
xCellSignifcanceBetaDist R Documentation
Calculate Significance P-values Using Beta Distribution
Description
Calculates FDR-adjusted p-values for the null hypothesis that a cell type
is not present in the mixture.
Usage
xCellSignifcanceBetaDist(
scores,
beta_params = NULL,
rnaseq = TRUE,
file.name = NULL
)
Arguments
scores
xCell scores matrix.
beta_params
Pre-calculated beta distribution parameters.
rnaseq
Logical for RNA-seq vs array parameters. Default is 'TRUE'.
file.name
Character string for saving p-values. Default is 'NULL'.
Value
Matrix of p-values.
IOBR documentation built on May 30, 2026, 5:07 p.m.
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| xCellSignifcanceBetaDist | R Documentation |
Calculate Significance P-values Using Beta Distribution
Description
Calculates FDR-adjusted p-values for the null hypothesis that a cell type is not present in the mixture.
Usage
xCellSignifcanceBetaDist(
scores,
beta_params = NULL,
rnaseq = TRUE,
file.name = NULL
)
Arguments
scores |
xCell scores matrix. |
beta_params |
Pre-calculated beta distribution parameters. |
rnaseq |
Logical for RNA-seq vs array parameters. Default is 'TRUE'. |
file.name |
Character string for saving p-values. Default is 'NULL'. |
Value
Matrix of p-values.
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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