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DoubleExpSeq (version 1.1)

Differential Exon Usage Test for RNA-Seq Data via Empirical Bayes Shrinkage of the Dispersion Parameter

Description

Differential exon usage test for RNA-Seq data via an empirical Bayes shrinkage method for the dispersion parameter the utilizes inclusion-exclusion data to analyze the propensity to skip an exon across groups. The input data consists of two matrices where each row represents an exon and the columns represent the biological samples. The first matrix is the count of the number of reads expressing the exon for each sample. The second matrix is the count of the number of reads that either express the exon or explicitly skip the exon across the samples, a.k.a. the total count matrix. Dividing the two matrices yields proportions representing the propensity to express the exon versus skipping the exon for each sample.

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Version

Install

install.packages('DoubleExpSeq')

Monthly Downloads

240

Version

1.1

License

GPL-3

Maintainer

Sean Ruddy

Last Published

September 4th, 2015

Functions in DoubleExpSeq (1.1)

optimPlot

Plot the WEB-Seq Maximum Likelihood Solution for the Weight Parameter in the Weighted Likelihood
DBGLM1

Double Binomial Generalized Linear Model with Shrinkage of the Dispersion Parameter
groups

Group Structure of the Toy Data Set
counts

Exon Inclusion Counts
DB.MAPlot

Plots Log-Fold Change versus Log-Concentration for Inclusion/Exclusion Data
DoubleExpSeq-package

DoubleExpSeq is a package with application to RNA-Seq experiments that tests for differential exon usage.
exon

Toy Exon Inclusion and Total Counts Used for Examples
EstimateDEBDisp

DEB-Seq: Empirical Bayes Estimates of Dispersion for a Double Binomial Distribution
offsets

Exon Total Counts
EstimateWEBDisp

WEB-Seq: Weighted Likelihood Empirical Bayes Estimates of Dispersion for a Double Binomial Distribution