ICA-AROMA 0.4.4-beta-foss-2019a-Python-3.7.2

ICA-AROMA (i.e. 'ICA-based Automatic Removal Of Motion Artifacts') concerns a data-driven method to identify and remove motion-related independent components from fMRI data.

Accessing ICA-AROMA 0.4.4-beta-foss-2019a-Python-3.7.2

To load the module for ICA-AROMA 0.4.4-beta-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load ICA-AROMA/0.4.4-beta-foss-2019a-Python-3.7.2

BEAR Apps Version


More Information

For more information visit the ICA-AROMA website.


This version of ICA-AROMA has a direct dependency on: foss/2019a FSL/5.0.11-foss-2019a-Python-3.7.2 matplotlib/3.0.3-foss-2019a-Python-3.7.2 Python/3.7.2-GCCcore-8.2.0 Seaborn/0.9.0-foss-2019a-Python-3.7.2

Required By

This version of ICA-AROMA is a direct dependent of: FMRIprep/20.2.0-foss-2019a-Python-3.7.2 FMRIprep/1.5.1-foss-2019a-Python-3.7.2 FMRIprep/20.0.6-foss-2019a-Python-3.7.2

Last modified on 29th November 2019