pca_prep: Prep for PCA plot
In kra277/rnaseqviz: A set functions that help in organizing, and visualizing RNA seq results.
Description
Usage
Arguments
Examples
Description
pca_prep function uses the vst/log transformed data to make a dataframe that could be used to make a pca plot.
Usage
1
pca_prep(norm_dat, var_int, ntop = 1000)
Arguments
norm_dat
data frame of normalized gene counts. Generally a made using the DESeq2.
ntop
number of top genes that you need to calculate the PCs. Default is 1000 genes.
Examples
1
pca_data_nb <- pca_prep(norm_dat = sample_vst_dd, "Group")
kra277/rnaseqviz documentation built on Feb. 6, 2022, 9:43 p.m.
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Description Usage Arguments Examples
Description
pca_prep function uses the vst/log transformed data to make a dataframe that could be used to make a pca plot.
Usage
1 | pca_prep(norm_dat, var_int, ntop = 1000)
|
Arguments
norm_dat |
data frame of normalized gene counts. Generally a made using the |
ntop |
number of top genes that you need to calculate the PCs. Default is 1000 genes. |
Examples
1 | pca_data_nb <- pca_prep(norm_dat = sample_vst_dd, "Group")
|
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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