Katherine M Gerull, Maria Pérez, Cara A Cipriano, Donna B Jeffe
Orthopaedic Surgery Attrition Before Board Certification: A National-Cohort Study of US MD Graduates in Orthopaedic Surgery Residency Programs
JB & JS open access
interrelation complementary nature multiomics data provide valuable insights intricate molecular mechanisms underlying diseases however challenges limited sample size high data dimensionality differences omics modalities pose significant obstacles fully harnessing potential data prior knowledge gene regulatory network pathway information harbors useful genegene interaction gene functional module information effectively integrate multiomics data make full use prior knowledge propose multilevelgraph neural network gnn hierarchically designed deep learning algorithm sequentially leverages multiomics data gene regulatory networks pathway information extract features enhance accuracy predicting survival risk method achieved better accuracy compared existing methods furthermore key factors nonlinearly associated tumor pathogenesis prioritized employing two interpretation algorithms ie gnnexplainer igscore neural networks gene pathway level respectively top genes pathways exhibit strong associations disease survival analyses many sec61g cyp27b1 previously reported literature