Description Usage Arguments Details Objects from the Class Slots Extends Methods Author(s) References
The DS5RPPAPreFitQC class represents the inputs necessary to determine the quality control rating of a reverse-phase protein array slide with 5 dilution series.
1 2 3 4 |
object |
object of class |
... |
extra arguments for generic routines |
The prediction model used multiple training datasets from the RPPA Core Facility by fitting a logistic regression model using an expert rating of a slide's quality (good, fair, or poor) as the response variable and a host of metrics about the raw positive control data as predicting variables.
Although objects of the class can be created by a direct call to
new, the preferred method is to use the RPPAPreFitQC
factory generator function.
antibody
:character string specifying name of antibody
slopediff
:numeric scalar specifying the difference from perfect slope
cvs
:numeric vector containing the coefficient of variance for each positive control dilution series
slopes
:numeric vector containing the slopes for each positive control dilution series
skews
:numeric vector containing the skews for each sample dilution series
drdiffs
:numeric vector containing the difference in dynamic range of each positive control dilution series
percentgood
:numeric scalar specifying percentage of "good" sample spots on the slide
adjusted
:logical scalar specifying if adjusted measures were used
Class RPPAPreFitQC
, directly.
signature(object = "DS5RPPAPreFitQC")
:
Calculates the probability of good slide, returned as numeric scalar.
signature(object = "DS5RPPAPreFitQC")
:
Prints a summary of the underlying data frame.
P. Roebuck proebuck@mdanderson.org
Ju Z, Liu W, Roebuck PL, Siwak DR, Zhang N, Lu Y, Davies MA,
Akbani R, Weinstein JN, Mills GB, Coombes KR
Development of a Robust Classifier for Quality Control of
Reverse Phase Protein Arrays.
Bioinformatics (2015) 31(6): 912-918.
http://www.ncbi.nlm.nih.gov/pubmed/25380958
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