findFeaturesSAFD | R Documentation |
Uses SAFD to obtain features. This functionality is still experimental. Please see the details below.
findFeaturesSAFD(
analysisInfo,
profPath = NULL,
mzRange = c(0, 400),
maxNumbIter = 1000,
maxTPeakW = 300,
resolution = 30000,
minMSW = 0.02,
RThreshold = 0.75,
minInt = 2000,
sigIncThreshold = 5,
S2N = 2,
minPeakWS = 3,
verbose = TRUE
)
analysisInfo |
A |
profPath |
A |
mzRange |
The m/z window to be imported (passed to the |
maxNumbIter , maxTPeakW , resolution , minMSW , RThreshold , minInt , sigIncThreshold , S2N , minPeakWS |
Parameters directly
passed to the |
verbose |
If set to |
This function uses SAFD to automatically find features. This function is called when calling findFeatures
with
algorithm="safd"
.
The support for SAFD is still experimental, and its interface might change in the future.
In order to use SAFD, please make sure that its julia
packages are installed and you have verified that
everything works, e.g. by running the test data.
This algorithm supports profile and centroided MS data. If the use of profile data is desired, centroided data
must still be available for other functionality of patRoon
. The centroided data is specified through the
'regular' analysis info mechanism. The location to any profile data is specified
through the profPath
argument (NULL
for no profile data). The base file names (i.e. the file
name without path and extension) of both centroid and profile data must be the same. Furthermore, the format of the
profile data must be ‘mzXML’.
An object of a class which is derived from features
.
findFeaturesSAFD
uses multiprocessing to parallelize
computations. Please see the parallelization section in the handbook for
more details and patRoon options for configuration
options.
Note that for caching purposes, the analyses files must always exist on the local host computer, even if it is not participating in computations.
Samanipour2019patRoon
findFeatures
for more details and other algorithms.
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