An S4 class to represent summarised counts and the output of Bayesian inference.
A positive integer matrix containing summarised counts for each genomic event (genes, exons, transcripts, etc) in the two conditions, A and B.
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.
A character vector containing the names of the genomic event. It is appropriately defaulted to names of the matrix.
A list containing initial values for each parameter.
N_A = rep(1, nrow(counts)),
N_B = rep(1,
f = 0.01.
A list containing step sizes for sampling each parameter.
stepsizeN_A = rep(1, nrow(counts)),
stepsize_f = 5e7
A list containing the samples for each parameter which are generated by Bayesian inference. It can only be filled inside the results function.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.