adj_CDF_logit {scpoisson} | R Documentation |
A novel data representation based on Poisson probability
Description
This function returns a matrix of a novel data representation with the same dimension as input data matrix.
Usage
adj_CDF_logit(data, change = 1e-10, ...)
Arguments
data |
A UMI count data matrix with genes as rows and cells as columns or an S3 object for class 'scppp'. |
change |
A numeric value used to correct for exactly 0 and 1 before logit transformation.
Any values below |
... |
not used. |
Details
This is a function used to calculate model departure as a novel data representation.
Value
A matrix of departure as a novel data representation (matrix as input) or an S3 object for class 'scppp' (scppp object as input; departure result will be stored in object scppp under "representation").
Examples
# Matrix as input
test_set <- matrix(rpois(500, 0.5), nrow = 10)
adj_CDF_logit(test_set)
# scppp object as input
adj_CDF_logit(scppp(test_set))
[Package scpoisson version 0.0.1 Index]