A fast machine learning workflow for rapid phenotype prediction from whole shotgun metagenomesAnna Paola CarrieriWill P. M. Roweet al.2019AAAI 2019
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug developmentLaura GardinerAnna Paola Carrieriet al.2019NeurIPS 2019
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
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differencesAnna Paola CarrieriNiina Haiminenet al.2021Scientific Reports
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicityLaura-Jayne GardinerAnna Paola Carrieriet al.2020Scientific Reports
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock functionLaura GardinerRachel Rusholme-Pilcheret al.2021PNAS
Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversityJustin P. ShafferLouis-Félix Nothiaset al.2022Nature Microbiology
SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environmentClarisse MarotzPedro Belda-Ferreet al.2021Microbiome