pca: Prinicipal component analysis of PSI distributions.
In DiogoVeiga/maser: Mapping Alternative Splicing Events to pRoteins
Description
Usage
Arguments
Value
Examples
Description
Prinicipal component analysis of PSI distributions.
Usage
1
Arguments
events
a maser object.
type
character indicating splice type. Possible values are
c("A3SS", "A5SS", "SE", "RI", "MXE")
Value
a ggplot object.
Examples
1
2
3
4
path <- system.file("extdata", file.path("MATS_output"), package = "maser")
hypoxia <- maser(path, c("Hypoxia 0h", "Hypoxia 24h"))
hypoxia_filt <- filterByCoverage(hypoxia, avg_reads = 5)
pca(hypoxia_filt, type = "RI")
DiogoVeiga/maser documentation built on Feb. 10, 2022, 10:10 a.m.
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Description Usage Arguments Value Examples
Description
Prinicipal component analysis of PSI distributions.
Usage
1 |
Arguments
events |
a maser object. |
type |
character indicating splice type. Possible values are
|
Value
a ggplot object.
Examples
1 2 3 4 | path <- system.file("extdata", file.path("MATS_output"), package = "maser")
hypoxia <- maser(path, c("Hypoxia 0h", "Hypoxia 24h"))
hypoxia_filt <- filterByCoverage(hypoxia, avg_reads = 5)
pca(hypoxia_filt, type = "RI")
|
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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