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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc5f210a949b3c0f5496239ae4223c9a5c016a841cd366ca11eae980e5ea07b9
|
|
| MD5 |
3065a0bf43706d9c35d3ab9d6eda4a27
|
|
| BLAKE2b-256 |
c11977e652c65eacc5afb31f56b9f40c7a5d963a1afedddf34619bf5867e61c0
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad7ead0d175f8ab5c5fc3909470024846f71e31a7038f774cb0ddfdb55123c63
|
|
| MD5 |
866c56ec478e1348120beb4632fbdeb5
|
|
| BLAKE2b-256 |
ebf954fddb6969a19659b7f36988246edb3892121e1565f5971a43d0030e3450
|