dat: A toy RNA-Seq data.
In PoissonSeq: Significance analysis of sequencing data based on a Poisson log linear model
Description
This toy data contains 1000 genes, and 6 samples in each of the two classes.
The sequencing depths of the 12 samples are rep(c(1, 2), 6).
The first 80 genes are set to be overexpressed in Class 2, and the next 20 genes are set to be underexpressed in Class 2.
The other 900 genes are null.
This is a Poisson-distributed data.
Usage
1
Format
A list.
nthe count matrix
ythe outcome vector
typethe outcome type
pairwhether the samples are paired or not
PoissonSeq documentation built on May 1, 2019, 7:33 p.m.
R Package Documentation
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Description
This toy data contains 1000 genes, and 6 samples in each of the two classes. The sequencing depths of the 12 samples are rep(c(1, 2), 6). The first 80 genes are set to be overexpressed in Class 2, and the next 20 genes are set to be underexpressed in Class 2. The other 900 genes are null. This is a Poisson-distributed data.
Usage
1 |
Format
A list.
nthe count matrix
ythe outcome vector
typethe outcome type
pairwhether the samples are paired or not
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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