ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound.

ABSTRACT: Most packages for the analysis of fMRI-based functional connectivity (FC) and genomic data are used with a programming language interface, lacking an easy-to-navigate GUI frontend. This exacerbates two problems found in these types of data: demographic confounds and quality control in the face of high dimensionality of features. The reason is that it is too slow and cumbersome to use a programming interface to create all the necessary visualizations required to identify all correlations, confounding effects, or quality control problems in a dataset. FC in particular usually contains tens of thousands of features per subject, and can only be summarized and efficiently explored using visualizations. To remedy this situation, we have developed ImageNomer, a data visualization and analysis too

SUBMITTER: Orlichenko A 

PROVIDER: S-EPMC10732473 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature