SplitGene: Assign genes to different group of interest
In cuiyingbeicheng/BEDFC: 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/BEDFC documentation built on Nov. 8, 2019, 12:34 a.m.
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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.
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