ConsensusMapNormalizerAlgorithmQuantile#
- class pyopenms.ConsensusMapNormalizerAlgorithmQuantile#
Bases:
objectCython implementation of _ConsensusMapNormalizerAlgorithmQuantile
Documentation is available at http://www.openms.de/current_doxygen/html/classOpenMS_1_1ConsensusMapNormalizerAlgorithmQuantile.html
- __init__()#
Cython signature: void ConsensusMapNormalizerAlgorithmQuantile()
Methods
Cython signature: void ConsensusMapNormalizerAlgorithmQuantile()
Cython signature: void extractIntensityVectors(ConsensusMap & map_, libcpp_vector[libcpp_vector[double]] & out_intensities) Extracts the intensities of the features of the different maps
Cython signature: void normalizeMaps(ConsensusMap & input_map)
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
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