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6.0.NeuroHub and Machine Learning

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bryancaron edited this page Jul 12, 2021 · 2 revisions

Within NeuroHub it is possible for researchers and their teams to access a variety of datasets for the purposes of applying machine learning techniques.

An example of such an interface made available is that of the Neurodataloader created as part of NeuroHub that enables access to BIDS-like datasets into PyTorch.

Questions or Issues?

For any questions or issues related to the registration process for accessing the UK Biobank data through the McGill agreement, please contact the NeuroHub team by email at support@neurohub.ca.

For any questions or issues specifically related to accessing the NeuroHub portal or using any of the NeuroHub features and functionalities, please contact the NeuroHub team by email at support@neurohub.ca.

Table of Contents

1. Getting started

  1. Get a NeuroHub account
  2. Obtain UKBiobank access

2. Using NeuroHub

  1. Available Tools and Datasets
  2. Access NeuroHub
  3. Creating a project
  4. LORIS Data Query TooL(DQT)
  5. Jupyter Notebooks in NeuroHub
  6. Messaging in NeuroHub
  7. Accessing the Canadian Open Neuroscience Platform(CONP) datasets
  8. Accessing the HCP(Human Connectome Project) datasets
  9. Accessing the UK Biobank dataset
  10. Accessing the ABCD dataset
  11. Accessing the OpenNeuro dataset

3. Examples

  1. Analyses of structural data
  2. Cellranger Count
  3. scrNAbox
  4. BraTSPipeline

4. Supplementary Information

5. Direct access to the UK Biobank data

  1. Available Data
  2. An example of extracting ICD codes from UK Biobank tabular data
  3. Accessing Imaging Data

6. NeuroHub and Machine Learning

7. Acknowledging NeuroHub

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