dpc: Detection probability curve for label free shotgun proteomics...
In Mengbo-Li/protDP: Estimation of the Detection Probability Curve in Label Free Shotgun Proteomics Data
dpc R Documentation
Detection probability curve for label free shotgun proteomics data
assuming observed normal intensities
Description
Detection probability curve for label free shotgun proteomics data
assuming observed normal intensities
Usage
dpc(y, maxit = 100, eps = 1e-04, b1.upper = 1)
Arguments
y
Log2-transformed precursor-level intensities with precursors on the
rows and samples on the columns.
maxit
Maximum number of iterations.
eps
Convergence tolerance.
b1.upper
Upper bound for beta_1. Typically 1.
Value
Fitted parameters and the fitting history.
Examples
## See the vignettes.
Mengbo-Li/protDP documentation built on Oct. 26, 2023, 9:50 p.m.
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| dpc | R Documentation |
Detection probability curve for label free shotgun proteomics data assuming observed normal intensities
Description
Detection probability curve for label free shotgun proteomics data assuming observed normal intensities
Usage
dpc(y, maxit = 100, eps = 1e-04, b1.upper = 1)
Arguments
y |
Log2-transformed precursor-level intensities with precursors on the rows and samples on the columns. |
maxit |
Maximum number of iterations. |
eps |
Convergence tolerance. |
b1.upper |
Upper bound for beta_1. Typically 1. |
Value
Fitted parameters and the fitting history.
Examples
## See the vignettes.
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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