plot_coexpression: Co-expression histogram generation
In Sage-Bionetworks/sageseqr: Identify differentially expressed genes counts data
View source: R/visualization-functions.R
plot_coexpression R Documentation
Co-expression histogram generation
Description
Visualize the correlation density (pairwise gene correlation) for normalized
expression data across all samples.
Usage
plot_coexpression(cqn_counts)
Arguments
cqn_counts
A counts data frame normalized by CQN.
Sage-Bionetworks/sageseqr documentation built on June 13, 2024, 2:11 p.m.
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View source: R/visualization-functions.R
| plot_coexpression | R Documentation |
Co-expression histogram generation
Description
Visualize the correlation density (pairwise gene correlation) for normalized expression data across all samples.
Usage
plot_coexpression(cqn_counts)
Arguments
cqn_counts |
A counts data frame normalized by CQN. |
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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