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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)Low Rank Spectral Network Alignment., , , , and . WWW, page 619-628. ACM, (2018)Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure., , and . CoRR, (2020)Profiling functional disruption in biological systems, , , , , , , , , and 10 other author(s). Under review, (2022)Aligning Spatially Constrained Graphs., , , and . IEEE Trans. Knowl. Data Eng., 35 (8): 7712-7723 (August 2023)Early prediction and longitudinal modeling of preeclampsia from multiomics., , , , , , , , , and 23 other author(s). Patterns, 3 (12): 100655 (2022)Multimodal network diffusion predicts future disease-gene-chemical associations., , , , , , , and . Bioinform., 35 (9): 1536-1543 (2019)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)Low rank methods for multiple network alignment., , , and . CoRR, (2018)VoPo leverages cellular heterogeneity for predictive modeling of single-cell data, , , , , , , , , and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)