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An Updated Debarcoding Tool for Mass Cytometry with Cell Type-Specific and Cell Sample-Specific Stringency Adjustment., , , и . PSB, стр. 588-598. (2017)High-throughput Bayesian network learning using heterogeneous multicore computers., , , , , и . ICS, стр. 95-104. ACM, (2010)Phosphoproteomic analysis reveals interconnected system-wide responses to perturbations of kinases and phosphatases in yeast, , , , , , , , , и 12 other автор(ы). Sci. Signal., (2010)Chemical combination effects predict connectivity in biological systems, , , , , , , , , и 4 other автор(ы). Molecular Systems Biology, (27.02.2007)CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data., , , , , , , , и . Bioinform., 28 (18): 2400-2401 (2012)Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions., , , , , , , , , и 21 other автор(ы). Nat. Mach. Intell., 2 (10): 619-628 (2020)One-Way Matching of Datasets with Low Rank Signals., , , , и . CoRR, (2022)CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images, , , , , , , и . BMC bioinformatics, 23 (1): 1--17 (2022)Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements., , , , , , и . Pacific Symposium on Biocomputing, стр. 63-74. (2009)Recovering Cyclic Causal Structure., , , , и . NIPS Causality: Objectives and Assessment, том 6 из JMLR Proceedings, стр. 165-176. JMLR.org, (2010)