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
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Updated
Mar 8, 2026 - Python