B1112
Title: Network models for multi-omics data
Authors: Denise Scholtens - Northwestern University Feinberg School of Medicine (United States) [presenting]
Abstract: Maternal and fetal multi-omics data from the hyperglycemia and adverse pregnancy outcome (HAPO) study offer unique insight into potential mechanisms underlying associations between maternal glycemia and fetal outcomes. Network data structures offer a flexible construct for multi-omics data representation that accounts for dependencies among measured features. A range of network analysis methods will be discussed that facilitate both global and local insight into purported mechanisms related to the well-documented association between maternal glycemia and newborn size at birth.
