Description Usage Arguments Value
The minimum possible p-value is limited by the number of permuted genes used. This function can add more permuted genes to the previous result to get smaller p-values. For examples, see descendMultiPop
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descend.multipop.output | 
 the returned value of   | 
deTest.output | 
 returned values of   | 
de.pair.names | 
 a vector of length 2 showing the two cell population names for differential testing. The names should match the values in   | 
count.matrix | 
 the observed UMI count matrix. It should be an R object of class   | 
labels | 
 a vector of factors or characters, indicating the cell popluation label of each cell. The length of   | 
N.more.genes | 
 number of more permuted genes. The larger the value is, the longer it takes and the smaller the minimum p-value can be  | 
alternative | 
 the alternative hypotheses for differential testing  | 
n.cores | 
 the number of cores used for parallel computing. Default is 1. Used only when parallel computing is done in a single machine. For using multi-machine cores, need to assign   | 
cl | 
 an object of class "cluster". See more details in   | 
type | 
 Default is "FORK" to save memory. Change it to "PSOCK" if you are using Windows and cl is NULL. More details see   | 
verbose | 
 verbose the estimation and testing procedures or not. Default is True.  | 
show.message | 
 whether show messages for the computing progresses. Default is TRUE  | 
params | 
 by default, it is descend.multipop.output$params, but users can provide their own in special cases  | 
compare.covariates | 
 whether also perform differential testing on the coefficients of the covaraites   | 
same as deTest
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