An S4 class to represent summarised counts and the output of Bayesian inference.

`counts`

A positive integer matrix containing summarised counts for each genomic event (genes, exons, transcripts, etc) in the two conditions, A and B.

`replicates`

A list containing the indices of the columns that belong to each of the two experimental conditions, A and B. It is defaulted to A = 1:(n/2), B = (n/2+1):n for an

*m*by*n*matrix.`geneNames`

A character vector containing the names of the genomic event. It is appropriately defaulted to names of the matrix.

`initValues`

A list containing initial values for each parameter. Defaulted to

`N_A`

= rep(1, nrow(counts)),`N_B`

= rep(1, nrow(counts)),`p`

= 0.0001,`f`

= 0.01.`stepSizes`

A list containing step sizes for sampling each parameter. Defaulted to

`stepsizeN_A`

= rep(1, nrow(counts)),`stepsizeN_B`

= rep(1, nrow(counts)),`stepsize_p`

= 1e3,`stepsize_f`

= 5e7`output`

A list containing the samples for each parameter which are generated by Bayesian inference. It can only be filled inside the results function.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.