skjt: Simulated Null Transcriptomic data

In NBBttest: Negative Binomial Beta t-Test

Simulated Null Transcriptomic data

Description

The dataset skjt generated by using R negative binomial pseudorandom generator rnbinom is used as an example for calculating omega.

Usage

data("skjt")

Format

A data frame with 13409 observations on the following 14 variables.

geneid

: a string vector

tagid

: a numeric vector

geneid.1

: a numeric vector

name

: a string vector

chr

: a string vector

strand

: a character vector

pos

: a numeric vector

anno

: a string vector

Jurk.NS.A

: a numeric vector

Jurk.NS.B

: a numeric vector

Jurk.NS.C

: a numeric vector

Jurk.48h.A

: a numeric vector

Jurk.48h.B

: a numeric vector

Jurk.48h.C

: a numeric vector

Details

The dataset skjt was generated by using R negative binomial pseudorandom generator rnbinom with μ and size. Parameters μ and size are given by mean and variance drawn from real Jurkat T cell transcriptomic count data . Condition (or treatment) effect on differential transcription of isoforms was set to zero. The data have 13409 genes and 7 information columns: geneid tagid name chr,strand, pos,anno, and 6 data columns.

Value

a datasheet containd ID, information, count data of RNA reads.

References

Yuan-De Tan Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis. Plos One. DOI: 10.1371/journal.pone.0123658.

Examples

data(skjt)

NBBttest documentation built on May 30, 2022, 1:05 a.m.