This project focuses on predicting maternal-fetal health outcomes, specifically early detection of preeclampsia, by learning transferable representations from cfRNA and placental transcriptomic data.
machine-learning bioinformatics deep-learning graph computational-biology representation-learning transcriptomics graphsage graph-neural-networks inductive-learning gnn maternal-health transcriptomics-data heterogeneous-graphs torch-geometric preeclampsia mini-batch-training
-
Updated
Jan 9, 2026 - Jupyter Notebook