histPlot: Histogram of connectivity distribution
In cbiagii/ceTF: Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
histPlot R Documentation
Histogram of connectivity distribution
Description
Generate the histogram for adjacency matrix to
show the clustering coefficient distribution.
Usage
histPlot(mat)
Arguments
mat
Adjacency matrix resulting from PCIT analysis in which
has some zero values.
Value
Returns the histogram of connectivity distribution.
Examples
# loading a simulated normalized data
data(simNorm)
# getting the PCIT results for first 30 genes
results <- PCIT(simNorm[1:30, ])
# plotting the histogram for PCIT significance results
histPlot(results$adj_sig)
cbiagii/ceTF documentation built on Feb. 6, 2023, 9:05 p.m.
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| histPlot | R Documentation |
Histogram of connectivity distribution
Description
Generate the histogram for adjacency matrix to show the clustering coefficient distribution.
Usage
histPlot(mat)
Arguments
mat |
Adjacency matrix resulting from PCIT analysis in which has some zero values. |
Value
Returns the histogram of connectivity distribution.
Examples
# loading a simulated normalized data data(simNorm) # getting the PCIT results for first 30 genes results <- PCIT(simNorm[1:30, ]) # plotting the histogram for PCIT significance results histPlot(results$adj_sig)
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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