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 and BEAR Cloud VMs):

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

BEAR Apps Version

2019a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the ICA-AROMA website.

Dependencies

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