summarisePosteriors: Summarises expected number of genomic events given the...

In baySeq: Empirical Bayesian analysis of patterns of differential expression in count data

Description

Given posterior likelihoods for each model, we can calculate the expected number of genomic events corresponding to each model (and to each ordering within each model) by summing the posterior likelihoods.

Usage

summarisePosteriors(cD, orderings = TRUE)

Arguments

cD	A countData object.
orderings	Indicates whether models should be split by orderings of the data under the model (defaults to TRUE).

Value

Numeric vector of expected number of genomic events belonging to each model (optionally, split by orderings).

Author(s)

Thomas J. Hardcastle

See Also

topCounts, selectTop

Examples

# We load in a `countData' object containing the estimated posterior
# likelihoods of expression (see `getLikelihoods').

data(CDPost)

# summarise the expected number of genomic events in each category
summarisePosteriors(CDPost)

baySeq documentation built on Nov. 8, 2020, 5:43 p.m.