Description Usage Arguments Value Examples
This function fits GNBP model to counts in different conditions and returns the posterior samples of probability and dispersion parameters than can be used to assess the differential expression significance.
1 | GNBP(y, groups, randtry = 1, Burnin = 1000L, Collections = 1000L)
|
y |
a matrix of counts, rows are corresponding to genes and columns are corresponding to samples. |
groups |
a vector of factors indicating group memberships of samples |
randtry |
state of set.seed |
Burnin |
Number of burn-in iterations in MCMC |
Collections |
Number of collected posterior samples after burn-in |
posterior samples of probability and dispersion parameters of Negative Binomial
1 2 3 4 5 6 |
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