Container of an MCMC sample of the BASiCS model parameters when comparing 2 populations of cells.
For each population, these are independently generated by the function BASiCS_MCMC and
afterwards combined through the function CombineBASiCS_Chain .
muTestMCMC chain for gene-specific expression levels \(\mu[i]\) in test group, defined as true input molecules in case of technical genes
(matrix with q.bio columns, all elements must be positive numbers)
muRefMCMC chain for gene-specific expression levels \(\mu[i]\) in reference group, defined as true input molecules in case of technical genes
(matrix with q.bio columns, all elements must be positive numbers)
deltaTestMCMC chain for gene-specific biological cell-to-cell heterogeneity hyper-parameters \(\delta[i]\)
in test group, biological genes only (matrix with q columns, all elements must be positive numbers)
deltaRefMCMC chain for gene-specific biological cell-to-cell heterogeneity hyper-parameters \(\delta[i]\) in reference group, biological genes only
(matrix with q columns, all elements must be positive numbers)
phiMCMC chain for cell-specific mRNA content normalising constants \(\phi[j]\)
(matrix with n columns, all elements must be positive numbers and the sum of its elements must be equal to n)
sMCMC chain for cell-specific capture efficiency (or amplification biases if not using UMI based counts) normalising constants \(s[j]\)
(matrix with n columns, all elements must be positive numbers)
nuMCMC chain for cell-specific random effects \(\nu[j]\)
(matrix with n columns, all elements must be positive numbers)
thetaTestMCMC chain for technical variability hyper-parameter \(\theta[test]\) in the test sample (vector, all elements must be positive)
thetaRefMCMC chain for technical variability hyper-parameter \(\theta[ref]\) in the reference sample (vector, all elements must be positive)
offsetOffset value to capture global changes in mRNA content. Default value = 1 (when no offset correction has been performed)
# NOT RUN {
# See vignette
# }
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