Harnessing biomedical foundation models for genomic feature engineering to investigate patient drug responseLaura GardinerStephen Checkleyet al.2025ISMB 2025
Using Agentic AI systems to harness multi-omics foundation models for accelerating biomedical discoveryRitesh KrishnaLaura Gardineret al.2025AI x Bio 2025
AutoXAI4Omics: an automated explainable AI tool for omics and tabular dataJames StrudwickLaura-Jayne Gardineret al.2024Briefings in Bioinformatics
Arable soil nitrogen dynamics reflect organic inputs via the extended composite phenotypeLaura GardinerRitesh Krishna2022Nat. Food.
Scalable in-memory paradigm for genomics data processingVadim ElisseevLaura Gardineret al.2022ISMB 2022
Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheatMarcus GRIFFITHSJonathan A. ATKINSONet al.2022Journal of Integrative Agriculture
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel diseaseLaura-Jayne GardinerAnna Paola Carrieriet al.2022PLoS ONE
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock functionLaura GardinerRachel Rusholme-Pilcheret al.2021PNAS
Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring WheatRyan JoynsonGemma Moleroet al.2021Plant Biotechnology Journal
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differencesAnna Paola CarrieriNiina Haiminenet al.2021Scientific Reports