 Integrated host/microbe metagenomics enables accurate lower respiratory tract infection diagnosis in critically ill children JCI, 2023
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 Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients JCI Insight, 2023
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 Prolonged silent carriage, genomic virulence potential and transmission between staff and patients characterize a neonatal intensive care unit (NICU) outbreak of methicillin-resistant Staphylococcus aureus (MRSA) Cambridge University Press, 2023
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 Field assessment of BinaxNOW antigen tests as COVID-19 treatment entry point at a community testing site in San Francisco during evolving omicron surges PLOS One, 2023
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 Antibodies to repeat-containing antigens in Plasmodium falciparum are exposure-dependent and short-lived in children in natural malaria infections eLife, 2023
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 Successful Treatment of Balamuthia mandrillaris Granulomatous Amebic Encephalitis with Nitroxoline Emerging Infectious Diseases, 2023
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 Dual ankyrinG and subpial autoantibodies in a man with well-controlled HIV infection with steroid-responsive meningoencephalitis: A case report Frontiers, 2023
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ExpressionNet is a program written by Jingchun Zhu that uses Bayesian network learning algorithms to explore relationships among random variables to generate network models. The software has been used to study the transcriptional response to environmental perturbations in budding yeast. Details of the program and the study of yeast transcription using Bayesian Networks was published in PLoS ONE.