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Computational Approaches for Connecting Maternal Stress to Preterm Birth, , , , , and . Clinics in Perinatology, (2024)Profiling functional disruption in biological systems, , , , , , , , , and 10 other author(s). Under review, (2022)Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset, , , , , , , , , and 28 other author(s). Science Translational Medicine, (2021)Early prediction and longitudinal modeling of preeclampsia from multiomics., , , , , , , , , and 23 other author(s). Patterns, 3 (12): 100655 (2022)Large-scale correlation network construction for unraveling the coordination of complex biological systems., , , , , , , , , and 20 other author(s). Nat. Comput. Sci., 3 (4): 346-359 (2023)Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries, , , , , , , , , and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)Early prediction and longitudinal modeling of preeclampsia from multiomics, , , , , , , , , and 1 other author(s). Patterns, 3 (12): 100655 (2022)VoPo leverages cellular heterogeneity for predictive modeling of single-cell data, , , , , , , , , and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries, , , , , , , , , and 68 other author(s). JAMA Network Open, (2020)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions., , , , , , , , , and 21 other author(s). Nat. Mach. Intell., 2 (10): 619-628 (2020)