GraphPype

• GraphPype
  • graphpype.pipe module
    • Graphs
    • anatNifti()
    • atlasDist()
    • atlasLabels()
    • constructCovarianceAverageGraph()
    • constructMinSpanDensity()
    • constructedDensityPermutationGraph()
    • covAtlasPermute()
    • covNifti()
    • degreeCDF()
    • degreeHistogram()
    • euclideanDistanceMatrix()
    • featureDegreeDistribution()
    • graphComposite()
    • graphSchemaFromComposites()
    • greedyModules()
    • louvainCommunities()
    • randomCommunityStochasticBlock()
    • randomSpin()
    • wiringCost()
  • graphpype.pipe module
    • Pipelines
    • DataSet
      • DataSet.analysis
      • DataSet.data
      • DataSet.name
    • Datum
      • Datum.addChannel()
      • Datum.dirs
      • Datum.postProcess
      • Datum.preProcess
    • Operator
    • Pipeline
      • Pipeline.output()
      • Pipeline.paths
      • Pipeline.plot()
      • Pipeline.process()
      • Pipeline.recipe
      • Pipeline.result
    • Recipe
      • Recipe.description
      • Recipe.env
      • Recipe.name
      • Recipe.nodes
      • Recipe.read()
      • Recipe.report()
      • Recipe.write()
  • graphpype.stats module
    • Statistics
    • compareDist()
    • compareGroupDegreeMeans()
    • covarianceMatrix()
    • estimateDistancePermutation()
    • generalLinearModel()
    • graphNeuralNetwork()
    • loadFeature()
    • modularOverlap()
    • modularZTest()
    • multipleTTest()
    • pairgroupModularZTest()
  • graphpype.utils module
    • Utility Functions
    • distanceMat()
    • fetchAtlas()
    • fmriprep()
    • generateFlowchart()
    • generateTemplate()
    • loadAnalysisChannel()
    • loadObject()
    • loadParcellation()
    • plots()
    • saveObject()
    • vectorSlice()
  • Module contents