plotMetaResults: Deviation Plots for Meta Results
In robertdouglasmorrison/DuffyTools: Duffy Lab Utility Tools
plotMetaResults R Documentation
Deviation Plots for Meta Results
Description
Generate a few visual assessments of Meta Results variance among the DE tools
Usage
plotMetaResults(file, columnNames = c("RoundRobin", "RankProduct", "SAM", "EdgeR", "DESeq"),
columnColors = rainbow(length(columnNames), end = 0.72), label = "")
Arguments
file
Full path name to an existing file containing a meta results or meta rank table
columnNames
Character vector of column names to use in meta results assessment
columnColors
colors for each column
label
Optional text to append to plot top legend
Details
This function assesses the variance between each DE tools call for gene rankings against the consensus
result, and then presents the data visually in a few plot styles.
Value
Plot files are written to the current directory.
Note
In the line plot image, we expect a 'fish' shaped result, where all tools agree somewhat about the most
up-regulated and down-regulated genes but have higher variance for the non differentially expressed genes
in the middle of the file.
robertdouglasmorrison/DuffyTools documentation built on May 6, 2024, 8:26 p.m.
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| plotMetaResults | R Documentation |
Deviation Plots for Meta Results
Description
Generate a few visual assessments of Meta Results variance among the DE tools
Usage
plotMetaResults(file, columnNames = c("RoundRobin", "RankProduct", "SAM", "EdgeR", "DESeq"),
columnColors = rainbow(length(columnNames), end = 0.72), label = "")
Arguments
file |
Full path name to an existing file containing a meta results or meta rank table |
columnNames |
Character vector of column names to use in meta results assessment |
columnColors |
colors for each column |
label |
Optional text to append to plot top legend |
Details
This function assesses the variance between each DE tools call for gene rankings against the consensus result, and then presents the data visually in a few plot styles.
Value
Plot files are written to the current directory.
Note
In the line plot image, we expect a 'fish' shaped result, where all tools agree somewhat about the most up-regulated and down-regulated genes but have higher variance for the non differentially expressed genes in the middle of the file.
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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