SplitGene: Assign genes to different group of interest
In cuiyingbeicheng/Foldseq: Log fold change detection based on an empirical bayesian method.
Description
Usage
Arguments
Value
Description
Assign genes to highly expressed genes, lowly expressed genes and non-differential genes based on the test statistic.
Usage
1
SplitGene(tvalue, lfc, ID)
Arguments
tvalue
Test statistic
lfc
Log fold change
ID
Gene ID
Value
nlist
Summary the statistics of non-differential genes
llist
Summary the statistics of lowly expressed genes
hlist
Summary the statistics of highly expressed genes
cuiyingbeicheng/Foldseq documentation built on May 18, 2020, 6:31 a.m.
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.
Description Usage Arguments Value
Description
Assign genes to highly expressed genes, lowly expressed genes and non-differential genes based on the test statistic.
Usage
1 | SplitGene(tvalue, lfc, ID)
|
Arguments
tvalue |
Test statistic |
lfc |
Log fold change |
ID |
Gene ID |
Value
nlist |
Summary the statistics of non-differential genes |
llist |
Summary the statistics of lowly expressed genes |
hlist |
Summary the statistics of highly expressed genes |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.