View source: R/EvaluateCandidateListAgainstRawData.R
EvaluateCandidateListAgainstRawData | R Documentation |
EvaluateCandidateListAgainstRawData
will compare the result
of function EvaluatePairsFromXCMSSet against raw data files.
EvaluateCandidateListAgainstRawData(
x = NULL,
tp = NULL,
gr = NULL,
dat = NULL,
dmz = 0.025,
drt = 1,
dEcut = 1,
Pcut = 0.01,
Icut = 1000,
method = c("APCI", "ESI")[1],
rolp = c("non", "pos", "neg", "all")[2],
smooth = 0
)
x |
Dataframe of results (output of EvaluatePairsFromXCMSet). |
tp |
Timepoint. |
gr |
group, e.g. different genotypes or concentrations. |
dat |
list of xcmsRaw's for deconvolution and plotting. |
dmz |
Allowed mass deviation in Da (for BPC extraction). |
drt |
Allowed rt deviation in seconds (for get extraction). |
dEcut |
Minimum required change in enrichment before a candidate ID is assigned. |
Pcut |
Maximum allowed P value before a candidate ID is assigned. |
Icut |
Minimum required median peak intensity before a candidate ID is assigned. |
method |
Either APCI or ESI. Choice will modify some internal parameters and checks performed. |
rolp |
RemoveOverLappingPeaks parameter, overlapping means from a deconvoluted spectrum where another peak was already evaluated. |
smooth |
Smoothing parameter passed to getMultipleBPC. |
This function will evaluate candidate mz pairs found within an 'xcmsSet' object or any peak list by EvaluatePairsFromXCMSSet against the raw measurement data. This step is required to minimize redundancy and false positive results. It will allow to generate a number of informative quality control plots. As quite some input data is required for this function, please have a look in the vignette for an example. A special parameter in this function is ‘rolp' which can be set to ’non', 'pos', 'neg' or 'all'. It will influence the time performance of the function by determining how many peaks are effectively tested. If 'rolp' is set to 'non', no overlapping peaks will be skipped, every individual mz-pair will be sequentially evaluated (slow but most informative). If it is set to 'pos' or 'neg', overlapping peaks (determined by experiment wide deconvolution) will not be tested additionally for positive or negative hits ('neg' is standard). If set to 'all' overlapping peaks will always be removed from the list of mz-pairs to be tested (fast).
A list of evaluation results.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.