This function fits a negative binomial model to transcript counts of a group of cells thereby deconvoluting variability into sampling noise, global cell-to-cell variability of transcript counts, and residual variability, which corresponds to biological noise. Local mean and and global cell-to-cell variability of transcript counts are pre-computed arguments.
fitNBtbCl(z, mu, rt, gamma = 2, x0 = 0.1, lower = 0, upper = 100)Vector of biological noise parameters across cells in z.
Transcript count matrix with cells as columns and genes as rows.
Vector of mean expression values across cells in z.
Vector of dispersion parameters explaining global cell-to-cell variability of transcript counts across cells in z.
Positive real number. Scale paramter of the cauchy prior. Default is 2.
Real number greater or equal to zero. Location parameter of the cauchy prior.
Real number greater or equal to zero. Lower bound for the maximum a posterior inference of the biological noise. Default is 0.
Real number greater or equal to zero. Upper bound for the maximum a posterior inference of the biological noise. Default is 100.