本文整理汇总了Python中Constants.getTermModHashForPairConfig方法的典型用法代码示例。如果您正苦于以下问题：Python Constants.getTermModHashForPairConfig方法的具体用法？Python Constants.getTermModHashForPairConfig怎么用？Python Constants.getTermModHashForPairConfig使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Constants的用法示例。
在下文中一共展示了Constants.getTermModHashForPairConfig方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: getPairsThread
# 需要导入模块: import Constants [as 别名]
# 或者: from Constants import getTermModHashForPairConfig [as 别名]
samePeptideClusters = Analytics.getSamePeptideClusters(precMassClusters, scanFDict, clusterSVMModel, clusterSVMRanges, ppmSTD=options.ppmstd, cutOff=float(paramsDict['Cluster Configuration']['cutoff']))
# samePeptideClusters = Analytics.getSamePeptideClusters(precMassClusters, scanFDict, clusterSVMModel, clusterSVMRanges, ppmSTD=options.ppmstd, cutOff=4)
# samePeptideClusters = An.getSamePeptideClusters(precMassClusters, scanFDict, clusterSVMModel, clusterSVMRanges, ppmSTD=options.ppmstd, cutOff=4)
# To test without any clustering
#samePeptideClusters = [[scanF] for scanF in scanFDict]
for pairConfigName in paramsDict['Pair Configurations']:
print 'Getting heavy-light pairs for %s' % (pairConfigName,)
t1 = time.time()
pairConfig = paramsDict['Pair Configurations'][pairConfigName]
pairs = Analytics.findDeltaPairsClusters(samePeptideClusters, scanFDict, pairConfig['NMod']+pairConfig['CMod'], ppm=options.ppmstd)
addEnds = DNS.getSpectrumGraphEndpointInitFunction(pairConfig['NStatic'], pairConfig['CStatic'], paramsDict['Enzyme']['specificity'])
termModHash = Constants.getTermModHashForPairConfig(pairConfig)
svmModel = svmutil.svm_load_model(parent + pairConfig['Model'])
svmRange = svmutil.load_ranges(parent + os.path.splitext(pairConfig['Model'])[0] + '.range')
xVals = []
# xVals = getPairsThread(pairs)
for pair in pairs:
lightSpecs = [DataFile.getMassIntPairs(scanFDict[lightScanF]['dta']) for lightScanF in samePeptideClusters[pair[0]]]
heavySpecs = [DataFile.getMassIntPairs(scanFDict[heavyScanF]['dta']) for heavyScanF in samePeptideClusters[pair[1]]]
lightPrecMass = np.average(np.array([scanFDict[lightScanF]['precMass'] for lightScanF in samePeptideClusters[pair[0]]]))
epSTD = options.ppmstd * 10 ** -6 * lightPrecMass
lightMergedSpec = SA.mergeSpectra(lightSpecs, epsilon=2*epSTD)
heavyMergedSpec = SA.mergeSpectra(heavySpecs, epsilon=2*epSTD)