pcaPlot: Prepare a scatter of plot of PCA analysis for gene expression...
In sagrudd/cDNA_tutorial: Tutorial For Nanopore Sequence Based Gene Expression Profiling
Description
Usage
Arguments
Value
Author(s)
Description
PCA analysis will seek the facets of the experimental data that can define the
greatest sources of systematic difference within the experimental data
Usage
1
pcaPlot()
Arguments
deSeqObj
DESeq2 differential expression object
Value
None
Author(s)
Oxford Nanopore Bioinformatics, support@nanoporetech.com
sagrudd/cDNA_tutorial documentation built on May 30, 2019, 2:13 p.m.
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Description Usage Arguments Value Author(s)
Description
PCA analysis will seek the facets of the experimental data that can define the greatest sources of systematic difference within the experimental data
Usage
1 | pcaPlot()
|
Arguments
deSeqObj |
DESeq2 differential expression object |
Value
None
Author(s)
Oxford Nanopore Bioinformatics, support@nanoporetech.com
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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