Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
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15 results for Laura Gardiner
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
- Anna Paola Carrieri
- Niina Haiminen
- et al.
- 2021
- Scientific Reports
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
- 2020
- Scientific Reports
Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function
- Laura Gardiner
- Rachel Rusholme-Pilcher
- et al.
- 2021
- PNAS
A framework for gene mapping in wheat demonstrated using the Yr7 yellow rust resistance gene
- Laura-Jayne Gardiner
- Pauline Bansept-Basler
- et al.
- 2020
- PLoS ONE
Scalable in-memory paradigm for genomics data processing
- 2022
- ISMB 2022
Re-purposing software for functional characterization of the microbiome
- Laura-Jayne Gardiner
- Niina Haiminen
- et al.
- 2021
- Microbiome
Analysis of the recombination landscape of hexaploid bread wheat reveals genes controlling recombination and gene conversion frequency
- Laura-Jayne Gardiner
- Luzie U. Wingen
- et al.
- 2019
- Genome Biology
AutoXAI4Omics: an automated explainable AI tool for omics and tabular data
- James Strudwick
- Laura-Jayne Gardiner
- et al.
- 2024
- Briefings in Bioinformatics