dot-calculatePowerPTM: Power calculation for PTM experiment
In Vitek-Lab/MSstatsPTM: Statistical Characterization of Post-translational Modifications
.calculatePowerPTM R Documentation
Power calculation for PTM experiment
Description
Power calculation for PTM experiment
Usage
.calculatePowerPTM(
desiredFC,
FDR,
delta,
ptm_median_sigma_error,
protein_median_sigma_error,
ptm_median_sigma_subject,
protein_median_sigma_subject,
numSample
)
Arguments
desiredFC
the range of a desired fold change which includes the lower
and upper values of the desired fold change.
FDR
a pre-specified false discovery ratio (FDR) to control the overall
false positive rate. Default is 0.05
numSample
minimal number of biological replicates per condition.
TRUE represents you require to calculate the sample size for this category,
else you should input the exact number of biological replicates.
Value
float of power
Vitek-Lab/MSstatsPTM documentation built on April 21, 2024, 6:45 a.m.
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| .calculatePowerPTM | R Documentation |
Power calculation for PTM experiment
Description
Power calculation for PTM experiment
Usage
.calculatePowerPTM(
desiredFC,
FDR,
delta,
ptm_median_sigma_error,
protein_median_sigma_error,
ptm_median_sigma_subject,
protein_median_sigma_subject,
numSample
)
Arguments
desiredFC |
the range of a desired fold change which includes the lower and upper values of the desired fold change. |
FDR |
a pre-specified false discovery ratio (FDR) to control the overall false positive rate. Default is 0.05 |
numSample |
minimal number of biological replicates per condition. TRUE represents you require to calculate the sample size for this category, else you should input the exact number of biological replicates. |
Value
float of power
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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