Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice

Multi-omics biomarkers associated with spaceflight calcium reuptake aberrations are revealed by machine learning regression analysis

Exposure to spaceflight has been previously reported to increase Ca²⁺ uptake in mouse TA muscles and decrease Ca²⁺ uptake in mouse SOL muscles¹. We hypothesized that this phenotypic change can be further understood by examining the relationships between genes, proteins, and methylation markers. Therefore, we trained QLattice to identify multi-omics biomarkers predictive of changes in calcium reuptake capacity, using multi-omics datasets from OSD-104 mouse SOL…