plot_missing_SN_per_sample: Plot the missing values vs signal:noise for each sample
In CambridgeCentreForProteomics/camprotR: Processing, analysing and visualising CCP proteomics data
plot_missing_SN_per_sample R Documentation
Plot the missing values vs signal:noise for each sample
Description
Missing values are more frequent with low signal:noise (S:N).
This function visualises this relationship for each sample to aid selection
of thresholds for minimal S:N filtering.
Usage
plot_missing_SN_per_sample(obj, sn_column = "Average.Reporter.SN", bins = 20)
Arguments
obj
MSnSet containing PSM level TMT intensities
sn_column
character column name for Signal:noise values
bins
numeric Number of bins to plot
Value
ggplot tile plot to show S:N vs # missing values for each sample
CambridgeCentreForProteomics/camprotR documentation built on July 7, 2024, 2:13 a.m.
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| plot_missing_SN_per_sample | R Documentation |
Plot the missing values vs signal:noise for each sample
Description
Missing values are more frequent with low signal:noise (S:N). This function visualises this relationship for each sample to aid selection of thresholds for minimal S:N filtering.
Usage
plot_missing_SN_per_sample(obj, sn_column = "Average.Reporter.SN", bins = 20)
Arguments
obj |
|
sn_column |
|
bins |
|
Value
ggplot tile plot to show S:N vs # missing values for each sample
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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