Index

A

addChannel() (graphpype.pipe.Datum method) analysis (graphpype.pipe.DataSet attribute)

anatNifti() (in module graphpype.graph) atlasDist() (in module graphpype.graph) atlasLabels() (in module graphpype.graph)

C

compareDist() (in module graphpype.stats) compareGroupDegreeMeans() (in module graphpype.stats) constructCovarianceAverageGraph() (in module graphpype.graph) constructedDensityPermutationGraph() (in module graphpype.graph)

constructMinSpanDensity() (in module graphpype.graph) covarianceMatrix() (in module graphpype.stats) covAtlasPermute() (in module graphpype.graph) covNifti() (in module graphpype.graph)

D

data (graphpype.pipe.DataSet attribute) DataSet (class in graphpype.pipe) Datum (class in graphpype.pipe) degreeCDF() (in module graphpype.graph)

degreeHistogram() (in module graphpype.graph) description (graphpype.pipe.Recipe attribute) dirs (graphpype.pipe.Datum attribute) distanceMat() (in module graphpype.utils)

E

env (graphpype.pipe.Recipe attribute)

estimateDistancePermutation() (in module graphpype.stats) euclideanDistanceMatrix() (in module graphpype.graph)

F

featureDegreeDistribution() (in module graphpype.graph)

fetchAtlas() (in module graphpype.utils) fmriprep() (in module graphpype.utils)

G

generalLinearModel() (in module graphpype.stats) generateFlowchart() (in module graphpype.utils) generateTemplate() (in module graphpype.utils) graphComposite() (in module graphpype.graph) graphNeuralNetwork() (in module graphpype.stats) graphpype module graphpype.graph module

graphpype.pipe module graphpype.stats module graphpype.utils module graphSchemaFromComposites() (in module graphpype.graph) greedyModules() (in module graphpype.graph)

L

loadAnalysisChannel() (in module graphpype.utils) loadFeature() (in module graphpype.stats)

loadObject() (in module graphpype.utils) loadParcellation() (in module graphpype.utils) louvainCommunities() (in module graphpype.graph)

M

modularOverlap() (in module graphpype.stats) modularZTest() (in module graphpype.stats) module graphpype graphpype.graph graphpype.pipe graphpype.stats graphpype.utils

multipleTTest() (in module graphpype.stats)

N

name (graphpype.pipe.DataSet attribute) (graphpype.pipe.Recipe attribute)

nodes (graphpype.pipe.Recipe attribute)

O

Operator (class in graphpype.pipe)

output() (graphpype.pipe.Pipeline method)

P

pairgroupModularZTest() (in module graphpype.stats) paths (graphpype.pipe.Pipeline attribute) Pipeline (class in graphpype.pipe) plot() (graphpype.pipe.Pipeline method)

plots() (in module graphpype.utils) postProcess (graphpype.pipe.Datum attribute) preProcess (graphpype.pipe.Datum attribute) process() (graphpype.pipe.Pipeline method)

R

randomCommunityStochasticBlock() (in module graphpype.graph) randomSpin() (in module graphpype.graph) read() (graphpype.pipe.Recipe method)

Recipe (class in graphpype.pipe) recipe (graphpype.pipe.Pipeline attribute) report() (graphpype.pipe.Recipe method) result (graphpype.pipe.Pipeline attribute)

S

saveObject() (in module graphpype.utils)

V

vectorSlice() (in module graphpype.utils)

W

wiringCost() (in module graphpype.graph)

write() (graphpype.pipe.Recipe method)