summarize.deg.specific.test: Summarize the patient-specific DEGs
In menggf/decd: A tool for differential expression analysis and DEGs based investigation to complex diseases by bi-clustering analysis
Description
Usage
Arguments
Details
Value
Author(s)
Examples
View source: R/summarize.deg.R
Description
Summarize the binary differential expression matrix transformed by bi.deg or the cross-validated DEGs predicted by deg.specific.
Usage
1
2
## S3 method for class 'deg.specific.test'
summarize(res.deg, max.n = 10)
Arguments
res.deg
a list returned by deg.specific
max.n
the number of DEGs to display
Details
This function summarizes the gene number before and after cross-validation.
Value
A data.frame.
Author(s)
Guofeng Meng
Examples
1
2
3
4
## Not run:
report.deg <- summarize(res.deg)
## End(Not run)
menggf/decd documentation built on Jan. 2, 2020, 12:53 a.m.
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Description Usage Arguments Details Value Author(s) Examples
View source: R/summarize.deg.R
Description
Summarize the binary differential expression matrix transformed by bi.deg or the cross-validated DEGs predicted by deg.specific.
Usage
1 2 | ## S3 method for class 'deg.specific.test'
summarize(res.deg, max.n = 10)
|
Arguments
res.deg |
a list returned by |
max.n |
the number of DEGs to display |
Details
This function summarizes the gene number before and after cross-validation.
Value
A data.frame.
Author(s)
Guofeng Meng
Examples
1 2 3 4 | ## Not run:
report.deg <- summarize(res.deg)
## End(Not run)
|
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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