Description Usage Arguments Details Methods (by generic) Slots Examples
Details about Proteins class.
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object |
Proteins-class object |
seed |
an integer for |
Class holding the information about the proteins and peptides
show: Show method for a Proteins object
simulate: Simulates the number of peptides per protein
(if not provided) and ionization efficiencies of each peptide.
nProtnumber of proteins
fdrPeptideFDR of peptide identifications
fdrMatchingFDR of peptide to spectrum or LC-MS feature matching
propChangingproportion of proteins that are changed between the different phenotype groups. At this point it is independent of phenotype groups. It shoud, however, depend on phenotype.
changingProtIdxindex indicating which proteins are changing
nPepnumber of peptides
lambdaparameter of Poisson distribution controlling the number of peptides per protein during the simulation
meanIoinizationIntensitya numeric value of mean peptide intensity
noisemeasurement noise. So far one value for all. May be in the future convert to signal/noise ratio.
pepCountsinteger vector with number of peptides per each protein
protNamescharacter vector with generated protein names
pepNamescharacter vector with generacted peptide names
ionizationEffnumeric vector with simulated ionization efficiencies for the peptides
missThreshAbsolutesoft threshold in absolute intensity. It has precedence over missThreshQuantile.
missThreshQuantilequantile to determine soft threshold value.
missThreshSharpnessparameter controlling the sharpness of the thresholding step function. The suggested interval for the sharpness values is [2,100]. At 2 it approximates linear (not necessarily the best setting). At 100 it is almost a step-function. The suggested values are >5.
featuresdata.frame containing peptide and protein names
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