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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