comppass: Calculates Z-Scores, WD scores, and entropy for a given input...
In dnusinow/cRomppass: Score an Affinity Purification Mass Spectrometry Proteomics Experiment for Interactor Confidence
Description
Usage
Arguments
Value
Examples
Description
Calculates Z-Scores, WD scores, and entropy for a given input
table of APMS runs
Usage
1
Arguments
input
A table of experiments, replicates, baits, prey, and spectral counts. See details.
stats
An optional externally calculated stats table. Must be in the same form as the input table. Defaults to NULL, in which case the stats are calculated from the input table.
norm.factor
factor A number between 0 and 1 corresponding to the quantile of the xs to normalize to. Defaults to the 98th percentile.
Value
A data frame containing the following columns: Experiment.ID, Bait, Prey, AvePSM, Z, WD, Entropy
Examples
1
2
data(comppass_test_data)
comppass.test.out <- comppass(comppass.test.data)
dnusinow/cRomppass documentation built on May 15, 2019, 9:40 a.m.
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Description Usage Arguments Value Examples
Description
Calculates Z-Scores, WD scores, and entropy for a given input table of APMS runs
Usage
1 |
Arguments
input |
A table of experiments, replicates, baits, prey, and spectral counts. See details. |
stats |
An optional externally calculated stats table. Must be in the same form as the input table. Defaults to NULL, in which case the stats are calculated from the input table. |
norm.factor |
factor A number between 0 and 1 corresponding to the quantile of the xs to normalize to. Defaults to the 98th percentile. |
Value
A data frame containing the following columns: Experiment.ID, Bait, Prey, AvePSM, Z, WD, Entropy
Examples
1 2 | data(comppass_test_data)
comppass.test.out <- comppass(comppass.test.data)
|
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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