AlgorithmsΒΆ
Most signal processing algorithms follow a similar pattern in OpenMS.
filter = FilterObject()
exp = MSExperiment()
# populate exp
filter.filterExperiment(exp)
Since they work on a single MSExperiment object, little input is needed to
execute a filter directly on the data. Examples of filters that follow this
pattern are GaussFilter
, SavitzkyGolayFilter
as well as the spectral filters
BernNorm
, MarkerMower
, NLargest
, Normalizer
, ParentPeakMower
, Scaler
,
SpectraMerger
, SqrtMower
, ThresholdMower
, WindowMower
.
using the same example file as before in
from pyopenms import *
exp = MSExperiment()
gf = GaussFilter()
MzMLFile().load("test.mzML", exp)
gf.filterExperiment(exp)
MzMLFile().store("test.filtered.mzML", exp)