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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