ConsensusMapNormalizerAlgorithmQuantile

class pyopenms.ConsensusMapNormalizerAlgorithmQuantile

Bases: object

Cython implementation of _ConsensusMapNormalizerAlgorithmQuantile

Documentation is available at http://www.openms.de/current_doxygen/html/classOpenMS_1_1ConsensusMapNormalizerAlgorithmQuantile.html

__init__()

Cython signature: void ConsensusMapNormalizerAlgorithmQuantile()

Methods

__init__	Cython signature: void ConsensusMapNormalizerAlgorithmQuantile()
extractIntensityVectors	Cython signature: void extractIntensityVectors(ConsensusMap & map_, libcpp_vector[libcpp_vector[double]] & out_intensities) Extracts the intensities of the features of the different maps
normalizeMaps	Cython signature: void normalizeMaps(ConsensusMap & input_map)
resample	Cython signature: void resample(libcpp_vector[double] & data_in, libcpp_vector[double] & data_out, unsigned int n_resampling_points) Resamples data_in and writes the results to data_out
setNormalizedIntensityValues	Cython signature: void setNormalizedIntensityValues(libcpp_vector[libcpp_vector[double]] & feature_ints, ConsensusMap & map_) Writes the intensity values in feature_ints to the corresponding features in map

extractIntensityVectors()

Cython signature: void extractIntensityVectors(ConsensusMap & map_, libcpp_vector[libcpp_vector[double]] & out_intensities) Extracts the intensities of the features of the different maps

normalizeMaps()

Cython signature: void normalizeMaps(ConsensusMap & input_map)

resample()

Cython signature: void resample(libcpp_vector[double] & data_in, libcpp_vector[double] & data_out, unsigned int n_resampling_points) Resamples data_in and writes the results to data_out

setNormalizedIntensityValues()

Cython signature: void setNormalizedIntensityValues(libcpp_vector[libcpp_vector[double]] & feature_ints, ConsensusMap & map_) Writes the intensity values in feature_ints to the corresponding features in map