Zhipeng Cao, Guilai Zhan, Jinmei Qin, Renata B Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, Sage Hahn, Dekang Yuan, Peter Callas, Scott Mackey, Hugh Garavan
Correlating transcriptional profiles with imaging-derived phenotypes has the potential to reveal possible molecular architectures associated with cognitive functions, brain development and disorders. Competitive null models built by resampling genes and self-contained null models built by spinning brain regions, along with varying test statistics, have been used to determine the significance of transcriptional associations. However, there has been no systematic evaluation of their performance in imaging transcriptomics analyses...
April 20, 2024: NeuroImage