Package | Description |
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com.compomics.util.experiment.identification.features |
Classes for the generation of identification features.
|
com.compomics.util.experiment.identification.peptide_shaker |
Experiment classes used in PeptideShaker calculations.
|
com.compomics.util.math.statistics.distributions |
Math classes related to distributions.
|
Modifier and Type | Method and Description |
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NonSymmetricalNormalDistribution |
IdentificationFeaturesGenerator.getMassErrorDistribution(String spectrumFile)
Returns the precursor mass error distribution of validated peptides in a
spectrum file.
|
Modifier and Type | Method and Description |
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NonSymmetricalNormalDistribution |
Metrics.getPeptideLengthDistribution()
Returns the distribution of validated peptide lengths.
|
Modifier and Type | Method and Description |
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void |
Metrics.setPeptideLengthDistribution(NonSymmetricalNormalDistribution peptideLengthDistribution)
Sets the distribution of validated peptide lengths.
|
Modifier and Type | Method and Description |
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static NonSymmetricalNormalDistribution |
NonSymmetricalNormalDistribution.getRobustNonSymmetricalNormalDistribution(ArrayList<Double> input)
Returns the non-symmetrical distribution of the input list of double
calibrated on the median, 15.9% and 84.1% percentiles.
|
static NonSymmetricalNormalDistribution |
NonSymmetricalNormalDistribution.getRobustNonSymmetricalNormalDistributionFromSortedArray(double[] input)
Returns the non-symmetrical distribution of the input array of double
calibrated on the median, 15.9% and 84.1% percentiles.
|
static NonSymmetricalNormalDistribution |
NonSymmetricalNormalDistribution.getRobustNonSymmetricalNormalDistributionFromSortedList(ArrayList<Double> input)
Returns the non-symmetrical distribution of the input list of double
calibrated on the median, 15.9% and 84.1% percentiles.
|
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