rPairedPoisson.Rd
A gene expression matrix of counts with N
features and
length(n)
pairs of samples.
The first pair corresponds to the two first column and so on.
The total number of samples is 2*n
The distribution of the first component is Poisson with
parameter lambda1
. For the genes (rows) in
gs
the distribution is the sum of the first generated value
plus a random count with Poisson distribution with mean lambda2
.
For the genes (rows) not in gs
the distribution of the second component
is the sum of the first generated value
plus a random count with Poisson distribution with mean lambda3
.
The matrix outlier
contains in the first column the indices of rows and in
the second column the indices of pairs. For the pairs of counts in outlier
the first component follows a Poisson distribution with mean lambda1
and the second component is equal to the first one plus a random count with
Poisson distributed with mean lambda4
.
rPairedPoisson(n, N, lambda1, lambda2, lambda3, lambda4, gs = NULL, outlier = NULL)
n | Number of pairs |
---|---|
N | Number of genes |
lambda1 | Mean of the first component |
lambda2 | Mean of the random count added to the first generated value on the significant genes |
lambda3 | Mean of the random count added to the first generated value on the non significant genes |
lambda4 | Mean of the random count added to the first generated value
on the outlier genes given in |
gs | Significant gene set (a subset of rows in 1:N) |
outlier | Matrix (rows as genes and pairs as samples) where the corresponding pair of counts are an outlier gs == NULL correspond with no differential expression |