Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox
Alessio Giacomel, Daniel Martins, Matteo Frigo, Federico Turkheimer, Steven Williams, Ottavia Dipasquale, Mattia Veronese
Abstract
, 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).
Topics & Concepts
NeuroimagingToolboxWorkflowPipeline (software)Computer scienceTranscriptomeSet (abstract data type)NeuroinformaticsComputational biologyData miningData scienceGene expressionNeurosciencePsychologyGeneBiologyDatabaseProgramming languageGeneticsSingle-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic Networks