[01056] Statistical methodology for functional meta-analysis of sex-based disparities in neurological diseases
Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
Type : Industrial Contributed Talk
Abstract : Sex-based differences in diverse health scenarios and diseases have been acknowledged for many years but still not thorough-fully analysed. We propose a statistical methodology combining transcriptomics data from different spurces which allows to unveil those disparities at the level of differentially expressed genes and differentially enriched functions. The methodology uses linear models, meta-analysing the results through the logFC, and has been successfully applied to various diseases such as Multiple Sclerosis, Alzheimer’s and Parkinson’s diseases.