Description Usage Arguments Details Value Author(s) References See Also Examples

Momega is a function that is used to estimate omega for testing multiple null hypotheses.
Omege is a null *ρ* that is used as a threshold for *ρ* from real data. Since this omega is majorly applied
to micoarray, we named this function as momega.

1 | ```
momega(dat, na, nb, distr = "norm")
``` |

`dat` |
a matrix dataset containing string columns and two-condition numeric columns |

`na` |
numeric value, size of sample 1 or number of replicates in condition A. |

`nb` |
numeric value, size of sample 1 or number of replicates in condition A. |

`distr` |
string, data distribution. |

This function is to use null data to calculate omega value with rho = 1.

return a numeric value

Yuan-De Tan [email protected]

Yuan-De Tan Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson (2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis. *Plos One*. 2015 DOI: 10.1371/journal.pone.0123658.

1 2 3 4 | ```
data(Ecadherin)
Ecad<-as.data.frame(Ecadherin)
Ecad1<-Ecad[,-1]
w<-momega(dat=Ecad1[1:2000,], na=3, nb=3, distr = "norm")
``` |

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