Skip to main content

Analysis of connectivity data by dividing the connectome and fitting independent models

Project description

connsearch is a Python package for analysis of functional connectivity data. It is premised on dividing the connectome into network components and fitting an independent model for each component.

See our GitHub repo: GitHub repo

See also our paper: Bogdan, P.C., Iordan, A. D., Shobrook, J., & Dolcos, F. (2023). ConnSearch: A Framework for Functional Connectivity Analysis Designed for Interpretability and Effectiveness at Limited Sample Sizes. NeuroImage, 120274.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

connsearch-0.1.1.tar.gz (31.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

connsearch-0.1.1-py3-none-any.whl (32.6 kB view details)

Uploaded Python 3

File details

Details for the file connsearch-0.1.1.tar.gz.

File metadata

  • Download URL: connsearch-0.1.1.tar.gz
  • Upload date:
  • Size: 31.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 CPython/3.8.12

File hashes

Hashes for connsearch-0.1.1.tar.gz
Algorithm Hash digest
SHA256 bc5f210a949b3c0f5496239ae4223c9a5c016a841cd366ca11eae980e5ea07b9
MD5 3065a0bf43706d9c35d3ab9d6eda4a27
BLAKE2b-256 c11977e652c65eacc5afb31f56b9f40c7a5d963a1afedddf34619bf5867e61c0

See more details on using hashes here.

File details

Details for the file connsearch-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: connsearch-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 CPython/3.8.12

File hashes

Hashes for connsearch-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ad7ead0d175f8ab5c5fc3909470024846f71e31a7038f774cb0ddfdb55123c63
MD5 866c56ec478e1348120beb4632fbdeb5
BLAKE2b-256 ebf954fddb6969a19659b7f36988246edb3892121e1565f5971a43d0030e3450

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page