Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox

Autor: Alessio Giacomel, Daniel Martins, Matteo Frigo, Federico Turkheimer, Steven C.R. Williams, Ottavia Dipasquale, Mattia Veronese
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: STAR Protocols, Vol 3, Iss 2, Pp 101315- (2022)
Druh dokumentu: article
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2022.101315
Popis: Summary: The integration of neuroimaging and transcriptomics data, Imaging Transcriptomics, is becoming increasingly popular but standardized workflows for its implementation are still lacking. We describe the Imaging Transcriptomics toolbox, a new package that implements a full imaging transcriptomics pipeline using a user-friendly, command line interface. This toolbox allows the user to identify patterns of gene expression which correlates with a specific neuroimaging phenotype and perform gene set enrichment analyses to inform the biological interpretation of the findings using up-to-date methods.For complete details on the use and execution of this protocol, please refer to Martins et al. (2021).
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