Description Usage Arguments Value Author(s) See Also Examples
Get a list of dataframes that contains peptide scores, pvalues, and qvalues across all runs.
1 2 3 4 5 6 7 | getPeptideScores(
fileInfo,
peptides,
oswMerged = TRUE,
runType = "DIA_Proteomics",
context = "global"
)
|
fileInfo |
(data-frame) Output of |
peptides |
(integer) Ids of peptides for which scores are required. |
oswMerged |
(logical) TRUE for experiment-wide FDR and FALSE for run-specific FDR by pyprophet. |
runType |
(char) This must be one of the strings "DIA_Proteomics", "DIA_Metabolomics". |
context |
(string) Context used in pyprophet peptide. Must be either "run-specific", "experiment-wide", or "global". |
(list of dataframes) dataframe has following columns:
peptide_id |
(integer) a unique id for each precursor. |
run |
(character) as in SCORE_PEPTIDE.RUN_ID of osw files. |
score |
(numeric) as in SCORE_PEPTIDE.SCORE of osw files. |
pvalue |
(numeric) as in SCORE_PEPTIDE.PVALUE of osw files. |
qvalue |
(numeric) as in SCORE_PEPTIDE.QVALUE of osw files. |
Shubham Gupta, shubh.gupta@mail.utoronto.ca
ORCID: 0000-0003-3500-8152
License: (c) Author (2020) + GPL-3 Date: 2020-07-01
getRunNames, fetchPeptidesInfo
1 2 3 4 5 6 | dataPath <- system.file("extdata", package = "DIAlignR")
fileInfo <- getRunNames(dataPath = dataPath)
precursorsInfo <- getPrecursors(fileInfo, oswMerged = TRUE, runType = "DIA_Proteomics",
context = "experiment-wide", maxPeptideFdr = 0.05)
peptidesInfo <- getPeptideScores(fileInfo, unique(precursorsInfo$peptide_id))
dim(peptidesInfo) # 684 5
|
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