MRMRTNormalizer

class pyopenms.MRMRTNormalizer

Bases: object

Cython implementation of _MRMRTNormalizer

Documentation is available at http://www.openms.de/current_doxygen/html/classOpenMS_1_1MRMRTNormalizer.html

__init__()

Methods

__init__()
chauvenet	Cython signature: bool chauvenet(libcpp_vector[double] residuals, int pos)
chauvenet_probability	Cython signature: double chauvenet_probability(libcpp_vector[double] residuals, int pos)
computeBinnedCoverage	Cython signature: bool computeBinnedCoverage(libcpp_pair[double,double] rtRange, libcpp_vector[libcpp_pair[double,double]] & pairs, int nrBins, int minPeptidesPerBin, int minBinsFilled)
removeOutliersIterative	Cython signature: libcpp_vector[libcpp_pair[double,double]] removeOutliersIterative(libcpp_vector[libcpp_pair[double,double]] & pairs, double rsq_limit, double coverage_limit, bool use_chauvenet, libcpp_string outlier_detection_method)
removeOutliersRANSAC	Cython signature: libcpp_vector[libcpp_pair[double,double]] removeOutliersRANSAC(libcpp_vector[libcpp_pair[double,double]] & pairs, double rsq_limit, double coverage_limit, size_t max_iterations, double max_rt_threshold, size_t sampling_size)

chauvenet()

Cython signature: bool chauvenet(libcpp_vector[double] residuals, int pos)

chauvenet_probability()

Cython signature: double chauvenet_probability(libcpp_vector[double] residuals, int pos)

computeBinnedCoverage()

Cython signature: bool computeBinnedCoverage(libcpp_pair[double,double] rtRange, libcpp_vector[libcpp_pair[double,double]] & pairs, int nrBins, int minPeptidesPerBin, int minBinsFilled)

removeOutliersIterative()

Cython signature: libcpp_vector[libcpp_pair[double,double]] removeOutliersIterative(libcpp_vector[libcpp_pair[double,double]] & pairs, double rsq_limit, double coverage_limit, bool use_chauvenet, libcpp_string outlier_detection_method)

removeOutliersRANSAC()

Cython signature: libcpp_vector[libcpp_pair[double,double]] removeOutliersRANSAC(libcpp_vector[libcpp_pair[double,double]] & pairs, double rsq_limit, double coverage_limit, size_t max_iterations, double max_rt_threshold, size_t sampling_size)