getPosteriorParams: getPosteriorParams

In scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

Description

Given the observations for a single gene and its clustering information, return the calculated posterior parameters

Usage

getPosteriorParams(y, mcobj, alpha, m0, s0, a0, b0)

Arguments

y	Numeric data vector for one gene (log-transformed non-zeroes)
mcobj	Object returned by mclustRestricted
alpha	Value for the Dirichlet concentration parameter
m0	Prior mean value for generating distribution of cluster means
s0	Prior precision value for generating distribution of cluster means
a0	Prior shape parameter value for the generating distribution of cluster precision
b0	Prior scale parameter value for the generating distribution of cluster precision

Value

A list of posterior parameter values under the DP mixture model framework, given the data and prior parameter values.

References

Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology. 2016 Oct 25;17(1):222. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y

scDD documentation built on Nov. 8, 2020, 7:10 p.m.