https://github.com/gauravpandeylab/tadpole_ei
https://github.com/gauravpandeylab/tadpole_ei
Last synced: 5 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/gauravpandeylab/tadpole_ei
- Owner: GauravPandeyLab
- Created: 2023-10-18T17:35:31.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-10-08T01:24:41.000Z (over 1 year ago)
- Last Synced: 2025-04-30T04:47:49.468Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 8.24 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Using Ensemble Integration for TADPOLE data
Ensemble Integration (EI) is a customizable pipeline for generating diverse ensembles of heterogeneous classifiers. The original python implementation of EI can be found in the following repository: https://github.com/GauravPandeyLab/eipy. All EI-derived models were adapted from this implementation, using a fork of EI already included in this repository.
## Data and processing
The original data provided by TADPOLE can be read about here: https://tadpole.grand-challenge.org/Data/#Data. To access TADPOLE data, you will need to register with ADNI and apply for access to these data. Once access is granted, you need only to run the 'setup' jupyter notebook to process the data.
## Running EI on TADPOLE data
All details and code necessary to run EI on TADPOLE data are located in the 'EI_for_TADPOLE' jupyter notebook. Make sure to process the data using the 'setup' notebook first!