Paper · S7508
Estimating time since influenza virus exposure using single-cell proteomic data
Rizzo Nervo, Nolan and colleagues model influenza shedding and time since exposure in two controlled challenge datasets. Preinfection baselines and selected healthy cohorts constrain generalization. Several count, legend, validation-method and error-metric descriptions disagree; this is not a UAP-exposure study.
Read the paper at frontiersin.orgWhat we checked
All 129 supplied XML units, five main figures, illustrated five-page supplement, four supplement figures, mapping and timing tables, formula and 24 references were read or inspected. Publication is March 19, 2026.
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- Most raw numerical matrix cells, analysis notebooks, model reproduction and native main-PDF pagination were not reviewed. Only headers and eight sample rows of the large matrices were individually inspected.
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- Cohort labels/counts, color legends, LOSO versus fivefold procedures, AUC .83 versus .81, and MSE versus root-MSE remain unresolved. Mechanical schema profiling is separate from cellwise reading and independent scientific replication.
Cite this record
Klodiana Rizzo Nervo, Neda Hajiakhoond Bidoki, Han Chen, Zainab Rahil, Zach Bjornson, Kenneth Kim, Bonnie Bock, Melton Affrime, Logan Bauerle, Pham Bao Tran Huynh, David Liebowitz, Sean Tucker, Pier Federico Gherardini, Garry P. Nolan, Nima Aghaeepour, David R. McIlwain. Estimating time since influenza virus exposure using single-cell proteomic data. March 19, 2026. BioParity S7508. https://bioparity.io/sources/S7508Record data (JSON)