org.fhcrc.cpl.viewer.amt
Class AmtUtilities

java.lang.Object
  org.fhcrc.cpl.viewer.amt.AmtUtilities

public class AmtUtilities
extends java.lang.Object

Utilities related to AMT

Nested Class Summary

static class	AmtUtilities.FeatureMassHydroClusterable Clusterable for clustering based on feature mass and hydrophobicity.
static class	AmtUtilities.FeatureMzHydroClusterable Clusterable for clustering based on feature mz and hydrophobicity.

Field Summary

static java.lang.String	HYDROPHOBICITY_ALGORITHM_NAME
static double	HYDROPHOBICITY_ALGORITHM_VERSION

Constructor Summary

AmtUtilities()

Method Summary

static void	addHydrophobicityToFeatures(Feature[] features, int scanOrTimeMode, double[] timeToHCoefficients) Assumes features have times populated if necessary Given a line that should predict time from hydrophobicity, indicate by how much (in units of scans or seconds) each feature appears to deviate from that line
static java.util.Map<java.lang.String,java.lang.Double>	calculateHydrophobicityScanOrTimeRelationship(Feature[] featuresForRegression, int scanOrTimeMode, boolean robustRegression)
static double	calculateNormalizedHydrophobicity(Feature feature) Warning about this one: if there's more than one peptide associated with the feature, it'll take the first
static double	calculateNormalizedHydrophobicity(Peptide peptide)
static double	calculateNormalizedHydrophobicity(java.lang.String peptideSequence)
static double	calculateRawHydrophobicity(Peptide peptide) Cover method for Peptide.getHydrophobicity / getHydrophobicity3.
static double	calculateRawHydrophobicity(java.lang.String peptideSequence)
static java.util.Map<java.lang.String,java.lang.Double>	calculateScanOrTimeHydrophobicityRelationship(Feature[] featuresForRegression, int scanOrTimeMode, boolean robustRegression)
static java.util.Map<java.lang.String,java.lang.Double>	calculateTimeHydroRelationshipEitherWay(Feature[] featuresForRegression, int scanOrTimeMode, boolean predictTimeFromHydro, boolean robustRegression) Workhorse method for relating time to hydrophobicity using linear regression, can be used to relate time in terms of hydrophobicity or vice versa.
static double	convertDeltaScanOrTimeToHydro(double slope, double intercept, double deltaScanOrTime)
static double	convertDeltaScanOrTimeToHydro(java.util.Map<java.lang.String,java.lang.Double> regressionLineMap, double scanOrTimeValueToConvert)
static Peptide	createPeptideFromSequence(java.lang.String peptideSequence) Create a peptide object from a peptide sequence.
static double	getInterceptFromRegressionLine(java.util.Map<java.lang.String,java.lang.Double> regressionLine)
static double	getSlopeFromRegressionLine(java.util.Map<java.lang.String,java.lang.Double> regressionLine)
static double[]	getTimesForSortedScanArray(MSRun run, int[] sortedScanArray)
static double	normalizeHydrophobicity(double inputHydrophobicity)
static java.util.ArrayList<Protein>	pickRandomProteins(java.util.ArrayList<Protein> fullProteinArray, int numProteinsToLoad) Pick numProteins proteins at "random" from a specified list of proteins.
static double	predictScanOrTime(double slope, double intercept, double hydrophobicity) Given a hydrophobicity, and a line describing the relationship between hydrophobicity and scan number, return the predicted scan for a given hydrophobicity.
static double	predictScanOrTime(double slope, double intercept, Feature feature) Predict the scan or time of a feature (depending on what the regression parameters represent)
protected static double	predictScanOrTime(double slope, double intercept, Peptide peptide) Given a peptide, and a line describing the relationship between hydrophobicity and scan number, calculate the hydrophobicity of the peptide and return the predicted scan for that hydrophobicity
static double	predictScanOrTime(java.util.Map<java.lang.String,java.lang.Double> regressionLine, Feature feature) Predict the scan or time of a feature (depending on what the regression line represents)
static void	recordHydrophobicities(FeatureSet featureSet, java.util.Map<java.lang.String,java.lang.Double> regressionLine, int scanOrTimeMode)
static void	recordMS1Hydrophobicities(FeatureSet featureSet, java.util.Map<java.lang.String,java.lang.Double> regressionLine, int scanOrTimeMode)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

HYDROPHOBICITY_ALGORITHM_NAME

public static final java.lang.String HYDROPHOBICITY_ALGORITHM_NAME

See Also:

Constant Field Values

HYDROPHOBICITY_ALGORITHM_VERSION

public static final double HYDROPHOBICITY_ALGORITHM_VERSION

See Also:

Constant Field Values

Constructor Detail

AmtUtilities

public AmtUtilities()

Method Detail

recordHydrophobicities

public static void recordHydrophobicities(FeatureSet featureSet,
                                          java.util.Map<java.lang.String,java.lang.Double> regressionLine,
                                          int scanOrTimeMode)

recordMS1Hydrophobicities

public static void recordMS1Hydrophobicities(FeatureSet featureSet,
                                             java.util.Map<java.lang.String,java.lang.Double> regressionLine,
                                             int scanOrTimeMode)

pickRandomProteins

public static java.util.ArrayList<Protein> pickRandomProteins(java.util.ArrayList<Protein> fullProteinArray,
                                                              int numProteinsToLoad)

Pick numProteins proteins at "random" from a specified list of proteins. It would sure be nice if we didn't have to load all the proteins in order to pick a random sample, but since FastaLoader just provides an iterator, this is about all we've got

Parameters:

fullProteinArray -

numProteinsToLoad -

Returns:

getTimesForSortedScanArray

public static double[] getTimesForSortedScanArray(MSRun run,
                                                  int[] sortedScanArray)

calculateTimeHydroRelationshipEitherWay

public static java.util.Map<java.lang.String,java.lang.Double> calculateTimeHydroRelationshipEitherWay(Feature[] featuresForRegression,
                                                                                                       int scanOrTimeMode,
                                                                                                       boolean predictTimeFromHydro,
                                                                                                       boolean robustRegression)

Workhorse method for relating time to hydrophobicity using linear regression, can be used to relate time in terms of hydrophobicity or vice versa. optionally use robust regression, which takes a lot longer

Returns:

a hashmap containing three elements, whose keys are defined in constants: the slope, intercept and sigma of the regression Note: this regression predicts hydrophobicity in terms of time. This relationship is not reciprocal, due to all sorts of arcane weirdness related to linear regression.

calculateScanOrTimeHydrophobicityRelationship

public static java.util.Map<java.lang.String,java.lang.Double> calculateScanOrTimeHydrophobicityRelationship(Feature[] featuresForRegression,
                                                                                                             int scanOrTimeMode,
                                                                                                             boolean robustRegression)

Returns:

a HashMap containing three elements, whose keys are defined in constants: the slope, intercept and sigma of the regression Note: this regression predicts time in terms of hydrophobicity. This relationship is not reciprocal, due to all sorts of arcane weirdness related to linear regression.

calculateHydrophobicityScanOrTimeRelationship

public static java.util.Map<java.lang.String,java.lang.Double> calculateHydrophobicityScanOrTimeRelationship(Feature[] featuresForRegression,
                                                                                                             int scanOrTimeMode,
                                                                                                             boolean robustRegression)

Returns:

a HashMap containing three elements, whose keys are defined in constants: the slope, intercept and sigma of the regression Note: this regression predicts hydrophobicity in terms of time. This relationship is not reciprocal, due to all sorts of arcane weirdness related to linear regression.

predictScanOrTime

protected static double predictScanOrTime(double slope,
                                          double intercept,
                                          Peptide peptide)

Given a peptide, and a line describing the relationship between hydrophobicity and scan number, calculate the hydrophobicity of the peptide and return the predicted scan for that hydrophobicity

Parameters:

intercept -

peptide -

Returns:

predictScanOrTime

public static double predictScanOrTime(double slope,
                                       double intercept,
                                       double hydrophobicity)

Given a hydrophobicity, and a line describing the relationship between hydrophobicity and scan number, return the predicted scan for a given hydrophobicity.

Parameters:

slope -

intercept -

hydrophobicity -

Returns:

getSlopeFromRegressionLine

public static double getSlopeFromRegressionLine(java.util.Map<java.lang.String,java.lang.Double> regressionLine)

getInterceptFromRegressionLine

public static double getInterceptFromRegressionLine(java.util.Map<java.lang.String,java.lang.Double> regressionLine)

predictScanOrTime

public static double predictScanOrTime(java.util.Map<java.lang.String,java.lang.Double> regressionLine,
                                       Feature feature)

Predict the scan or time of a feature (depending on what the regression line represents)

Parameters:

regressionLine -

feature -

Returns:

predictScanOrTime

public static double predictScanOrTime(double slope,
                                       double intercept,
                                       Feature feature)

Predict the scan or time of a feature (depending on what the regression parameters represent)

Parameters:

feature -

Returns:

convertDeltaScanOrTimeToHydro

public static double convertDeltaScanOrTimeToHydro(java.util.Map<java.lang.String,java.lang.Double> regressionLineMap,
                                                   double scanOrTimeValueToConvert)

convertDeltaScanOrTimeToHydro

public static double convertDeltaScanOrTimeToHydro(double slope,
                                                   double intercept,
                                                   double deltaScanOrTime)

createPeptideFromSequence

public static Peptide createPeptideFromSequence(java.lang.String peptideSequence)

Create a peptide object from a peptide sequence. Useful for finding mass, etc.

Parameters:

peptideSequence -

Returns:

calculateRawHydrophobicity

public static double calculateRawHydrophobicity(java.lang.String peptideSequence)

calculateRawHydrophobicity

public static double calculateRawHydrophobicity(Peptide peptide)

Cover method for Peptide.getHydrophobicity / getHydrophobicity3. Use this to switch between versions of the hydrophobicity calculator

Parameters:

peptide -

Returns:

normalizeHydrophobicity

public static double normalizeHydrophobicity(double inputHydrophobicity)

calculateNormalizedHydrophobicity

public static double calculateNormalizedHydrophobicity(Peptide peptide)

calculateNormalizedHydrophobicity

public static double calculateNormalizedHydrophobicity(java.lang.String peptideSequence)

calculateNormalizedHydrophobicity

public static double calculateNormalizedHydrophobicity(Feature feature)

Warning about this one: if there's more than one peptide associated with the feature, it'll take the first

Parameters:

feature -

Returns:

addHydrophobicityToFeatures

public static void addHydrophobicityToFeatures(Feature[] features,
                                               int scanOrTimeMode,
                                               double[] timeToHCoefficients)

Assumes features have times populated if necessary Given a line that should predict time from hydrophobicity, indicate by how much (in units of scans or seconds) each feature appears to deviate from that line

Parameters:

features -

scanOrTimeMode -