prepareMatrix: given table of peptide protein assigments generate matrix

Description Usage Arguments Value Examples

View source: R/prepareMatrix.R

Description

given table of peptide protein assigments generate matrix

Usage

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prepareMatrix(data, proteinID = "proteinID", peptideID = "strippedSequence",
  weighting = NULL, sep = "|")

Arguments

data

generated by annotatePeptides

proteinID

protein ID column

peptideID

peptide / precursor ID column

weighting

weight type to use. Options are "one" , "AA" - amino acids, "coverage" - coverage , "inverse" - inverse peptide frequencies

sep

separator for precursor (rownames)

Value

sparse matrix

Examples

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library(prozor)
data(protpepmetashort)
library(Matrix)
colnames(protpepmetashort)
head(protpepmetashort)
dim(protpepmetashort)
count = prepareMatrix( protpepmetashort, peptideID = "peptideSeq" )
dim(count)
inverse = prepareMatrix( protpepmetashort, peptideID = "peptideSeq" , weight = "inverse")
#aa = prepareMatrix(protpepmetashort,  peptideID = "peptideSeq" , weight = "AA")
#xx = prepareMatrix(protpepmetashort,  peptideID = "peptideSeq" , weight = "coverage")
image( as.matrix(count) )

corProt = cor( as.matrix(count) )
par(mfrow =c(1,2))
image(corProt)

#penalise peptides matching many proteins
corProtn = cor( as.matrix(inverse) )
image(corProtn)

protViz/prozor documentation built on July 30, 2018, 8:04 p.m.