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Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

, , , , , , , , , , и . Frontiers in Pediatrics, (2022)

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Dorien Schneidmüller

 

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Early prediction and longitudinal modeling of preeclampsia from multiomics, , , , , , , , , и 1 other автор(ы). Patterns, 3 (12): 100655 (2022)VoPo leverages cellular heterogeneity for predictive modeling of single-cell data, , , , , , , , , и 20 other автор(ы). Nature Communications, 11 (1): 3738-- (2020)Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning, , , , , , , , , и 1 other автор(ы). Frontiers in Pediatrics, (2022)Profiling functional disruption in biological systems, , , , , , , , , и 10 other автор(ы). Under review, (2022)Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset, , , , , , , , , и 28 other автор(ы). Science Translational Medicine, (2021)Early prediction and longitudinal modeling of preeclampsia from multiomics., , , , , , , , , и 23 other автор(ы). Patterns, 3 (12): 100655 (2022)Large-scale correlation network construction for unraveling the coordination of complex biological systems., , , , , , , , , и 20 other автор(ы). Nat. Comput. Sci., 3 (4): 346-359 (2023)