The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems. - Nophar Geifman; Alon Monsonego; Eitan Rubin (BMC Bioinform., 2010)

Towards an Age-Phenome Knowledge-base. - Nophar Geifman; Eitan Rubin (BMC Bioinform., 2011)

Do Cancer Clinical Trial Populations Truly Represent Cancer Patients? A Comparison of Open Clinical Trials to the Cancer Genome Atlas. - Nophar Geifman; Atul J. Butte (PSB, 2016)

Immune modulators in disease: integrating knowledge from the biomedical literature and gene expression. - Nophar Geifman; Sanchita Bhattacharya; Atul J. Butte (J. Am. Medical Informatics Assoc., 2016)

Patient Stratification Using Longitudinal Data - Application of Latent Class Mixed Models. - Nophar Geifman; Hannah Lennon; Niels Peek (MIE, 2018)

Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. - Arianna Dagliati; Nophar Geifman; Niels Peek; John H. Holmes; Lucia Sacchi; Seyed Erfan Sajjadi; Allan Tucker (AIME, 2019)

A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis. - Beatrice Amico; Arianna Dagliati; Darren Plant; Anne Barton; Niels Peek; Nophar Geifman (MedInfo, 2019)

Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer. - Charlotte Watson; Nophar Geifman (AMIA, 2020)

Probabilistic Approaches to Overcome Content Heterogeneity in Data Integration: A Study Case in Systematic Lupus Erythematosus. - Alexia Sampri; Nophar Geifman; Helen Le Sueur; Patrick Doherty; Philip A. Couch; Ian Bruce; Niels Peek (MIE, 2020)

Mining post-surgical care processes in breast cancer patients. - Lorenzo Chiudinelli; Arianna Dagliati; Valentina Tibollo; Sara Albasini; Nophar Geifman; Niels Peek; John H. Holmes; Fabio Corsi; Riccardo Bellazzi; Lucia Sacchi (Artif. Intell. Medicine, 2020)

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. - Arianna Dagliati; Nophar Geifman; Niels Peek; John H. Holmes; Lucia Sacchi; Riccardo Bellazzi; Seyed Erfan Sajjadi; Allan Tucker (Artif. Intell. Medicine, 2020)

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)