A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. - Cong Zhou; Michael J. Walker; Andrew J. K. Williamson; Andrew Pierce; Carlo Berzuini; Caroline Dive; Anthony D. Whetton (Bioinform., 2014)

The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination. - Kathryn A. McGurk; Arianna Dagliati; Davide Chiasserini; Dave Lee; Darren Plant; Ivona Baricevic-Jones; Janet Kelsall; Rachael Eineman; Rachel Reed; Bethany Geary; Richard D. Unwin; Anna Nicolaou; et al. (Bioinform., 2020)

Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining. - Nophar Geifman; Jo Armes; Anthony D. Whetton (Frontiers Digit. Health, 2023)