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Chemical combination effects predict connectivity in biological systems, , , , , , , , , and 4 other author(s). Molecular Systems Biology, (Feb 27, 2007)CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images, , , , , , , and . BMC bioinformatics, 23 (1): 1--17 (2022)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)Phosphoproteomic analysis reveals interconnected system-wide responses to perturbations of kinases and phosphatases in yeast, , , , , , , , , and 12 other author(s). Sci. Signal., (2010)CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data., , , , , , , , and . Bioinform., 28 (18): 2400-2401 (2012)Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE., , , , , , , , and . Nat Biotechnol, 29 (10): 886--891 (October 2011)Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements., , , , , , and . Pacific Symposium on Biocomputing, page 63-74. (2009)The human body at cellular resolution: the NIH Human Biomolecular Atlas Program., , , , , , , , , and 114 other author(s). Nat., 574 (7777): 187-192 (2019)ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs., , , , , and . ICS, page 83-94. ACM, (2010)Learning Signaling Network Structures with Sparsely Distributed Data., , , , , and . J. Comput. Biol., 16 (2): 201-212 (2009)