Index

E | F | G | I | L | M | R | S | T

E

  • EdgeData (class in graynet.results)
  • export_to_nx() (in module graynet.results)
  • extract() (in module graynet.api)
  • extract_multiedge() (in module graynet.api)

F

  • filter() (graynet.results.EdgeData method)
    • (graynet.results.RoiStatsData method)

G

  • get_edge_values() (in module graynet.results)
  • graynet.api
    • module
  • graynet.results
    • module

I

  • iter_subjects() (graynet.results.EdgeData method)

L

  • load_run() (in module graynet.results)

M

  • metadata (graynet.results.EdgeData attribute)
    • (graynet.results.RoiStatsData attribute)
    • (graynet.results.RunData attribute)
  • module
    • graynet.api
    • graynet.results

R

  • raw_edges (graynet.results.RunData attribute)
  • roi_stats (graynet.results.RunData attribute)
  • RoiStatsData (class in graynet.results)
  • roiwise_stats_indiv() (in module graynet.api)
  • run_dir (graynet.results.RunData attribute)
  • RunData (class in graynet.results)

S

  • stable_subject_ids() (graynet.results.EdgeData method)
  • summary_edges (graynet.results.RunData attribute)

T

  • table (graynet.results.EdgeData attribute)
    • (graynet.results.RoiStatsData attribute)
  • to_ndarray() (graynet.results.EdgeData method)
  • to_pandas() (graynet.results.EdgeData method)
    • (graynet.results.RoiStatsData method)
  • to_rows() (graynet.results.EdgeData method)

graynet

Navigation

Contents:

  • Installation
  • Command line interface
  • Single-feature edge extraction
  • Multi-edge extraction
  • ROI-wise statistics
  • Exporting GraphML or CSV
  • Examples using API
  • How to use graynet results
  • Loading a run
  • Filtering raw edges
  • Converting to an ML matrix
  • Reconstructing a NetworkX graph
  • Iterating subject by subject
  • Optional exports
  • Cortical graynet
  • Volumetric graynet
  • API
  • Citation

Related Topics

  • Documentation overview
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