methObservables


    A <code><a rd-options="" href="/link/countData?package=baySeq&version=2.6.0" data-mini-rdoc="baySeq::countData">countData</a></code> object, or descendant, which contains a
    numeric vector 'nonconversion' in the `@sampleObservables' slot.



  Estimating prior and posterior values for methylation data that
  account for non-conversion rates is a time-consuming
  process. Significant increases in speed can be made by calculating in
  advance sets of data that will be re-used at several points of these
  analyses. This function populates the '@cellObservables' slot of a
  `countData' object that contains a `nonconversion' object in the
  `@sampleObservables' slot.


manip

This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.

Thomas J Hardcastle

baySeq

Empirical Bayesian analysis of patterns of differential expression in count data

methObservables function

A <code><a href="countData" rd-options="">countData</a></code> object, or descendant, which contains a
    numeric vector 'nonconversion' in the `@sampleObservables' slot.

Estimating prior and posterior values for methylation data that
  account for non-conversion rates is a time-consuming
  process. Significant increases in speed can be made by calculating in
  advance sets of data that will be re-used at several points of these
  analyses. This function populates the '@cellObservables' slot of a
  `countData' object that contains a `nonconversion' object in the
  `@sampleObservables' slot.

methObservables: Generation of intermediate values in likelihood estimation for methylation data.

Description

Usage

Arguments

Value