PyBASC Demo

[AkiNikolaidis]

Title
PyBASC Demo: Creating Bagging Enhanced Functional Parcellations

Presentor and Affiliation
Aki Nikolaidis - The Child Mind Institute

Collaborators
@anibalsolon

Github Link (if applicable)
https://github.com/AkiNikolaidis/PyBASC/tree/master/PyBASC

Abstract (max. 200 words):
We introduce how to use PyBASC, a nipype-based package for creating functional parcellations. PyBASC uses bagging to create cluster ensembles that are more reliable, reproducible, and repeatable than standard clustering approaches. We will give a brief overview of the advantages of bagging and cluster ensembles, and we will show users how to install, setup, and run PyBASC on their local machines.

Preferred Session
Demo: New advances in open neuroimaging methods

Additional Context

[TimVanMourik]

Hi @AkiNikolaidis, I’m happy to tell you that we’d like to host your presentation as a demo/tutorial in the OSR in the From statistical to biological validity session. This will be a talk of 20 minutes + 5 minutes of questions. We could unfortunately not assign you a slot in your preferred session due to the high number of applications. However, we would really like to give your method a platform in the OSR and feel that it might be a good fit with this session. We would particularly appreciate it if you could emphasise the interpretation of your clustering method and how it beyond standard statistical inference.

We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.