Description Usage Arguments Value Author(s) See Also Examples
View source: R/post_alignment.R
It picks a feature that is within adaptiveRT window across eXpRT and has lowest m-score. Feature's m-score also has to be smaller than featureFDR.
1 | pickNearestFeature(eXpRT, analyte, oswFiles, runname, adaptiveRT, featureFDR)
|
eXpRT |
(numeric) retention time in experiment run. |
analyte |
(integer) vector of precursor IDs. |
oswFiles |
(list of data-frames) it is output from getFeatures function. |
runname |
(string) must be a combination of "run" and an iteger e.g. "run2". |
adaptiveRT |
(numeric) half-width of retention time window. Feature, if found, is picked from within this window. |
featureFDR |
(numeric) upper m-score cut-off for a feature to be picked. |
(list) Following elements are present in the list:
leftWidth |
(numeric) as in FEATURE.LEFT_WIDTH of osw files. |
rightWidth |
(numeric) as in FEATURE.RIGHT_WIDTH of osw files. |
RT |
(numeric) retention time as in FEATURE.EXP_RT of osw files. |
Intensity |
(numeric) peak intensity as in FEATURE_MS2.AREA_INTENSITY of osw files. |
peak_group_rank |
(integer) rank of each feature associated with transition_group_id. |
m_score |
(numeric) q-value of each feature associated with transition_group_id. |
Shubham Gupta, shubh.gupta@mail.utoronto.ca
ORCID: 0000-0003-3500-8152
License: (c) Author (2019) + GPL-3 Date: 2019-12-13
1 2 3 4 5 6 | data(oswFiles_DIAlignR, package="DIAlignR")
## Not run:
pickNearestFeature(eXpRT = 5237.8, analyte = 4618L, oswFiles = oswFiles_DIAlignR,
runname = "run2", adaptiveRT = 77.82315, featureFDR = 0.05)
## End(Not run)
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