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Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

International journal of epidemiology, 2021-01, Vol.49 (6), p.2074-2082

2021

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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010885-e1010885

2023

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Optimising outputs from a validated online instrument to measure health-related quality of life (HRQL) in dogs

PloS one, 2019-09, Vol.14 (9), p.e0221869

2019

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Measuring the effect of the anti-nerve growth factor antibodies bedinvetmab and frunevetmab on quality of life in dogs and cats with osteoarthritis using a validated health-related quality of life outcome measure: an observational real-world study

Frontiers in veterinary science, 2024-08, Vol.11, p.1395360

2024

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Optimisation of Scores Generated by an Online Feline Health-Related Quality of Life (HRQL) Instrument to Assist the Veterinary User Interpret Its Results

Frontiers in veterinary science, 2021-01, Vol.7, p.601304-601304

2021

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Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics

Frontiers in molecular biosciences, 2023-03, Vol.10, p.1130781

2023

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In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics

Metabolites, 2019-10, Vol.9 (10), p.219

2019

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Validity and Responsiveness of the Generic Health-Related Quality of Life Instrument (VetMetrica™) in Cats With Osteoarthritis. Comparison of Vet and Owner Impressions of Quality of Life Impact

Frontiers in veterinary science, 2021-09, Vol.8, p.733812-733812

2021

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Development of an Early Warning System for Owners Using a Validated Health-Related Quality of Life (HRQL) Instrument for Companion Animals and Its Use in a Large Cohort of Dogs

Frontiers in veterinary science, 2020-09, Vol.7, p.575795-575795

2020

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Corrigendum: Development of an Early Warning System for Owners Using a Validated Health-Related Quality of Life (HRQL) Instrument for Companion Animals and Its Use in a Large Cohort of Dogs

Frontiers in veterinary science, 2021-04, Vol.8, p.676049-676049

2021

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TopNEXt: automatic DDA exclusion framework for multi-sample mass spectrometry experiments

Bioinformatics (Oxford, England), 2023-07, Vol.39 (7)

2023

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Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance

Journal of the Royal Society interface, 2019-07, Vol.16 (156), p.20190114

2019

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Rapid Development of Improved Data-Dependent Acquisition Strategies

Analytical chemistry (Washington), 2021-04, Vol.93 (14), p.5676-5683

2021

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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010885

2023

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Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-11, Vol.68 (5), p.1555-1576

2019

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Optimising outputs from a validated online instrument to measure health-related quality of life

PloS one, 2019-09, Vol.14 (9), p.e0221869

2019

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Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-08, Vol.68 (4), p.859-885

2019

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OA13 Comprehensive genetic and functional analyses of Fc gamma receptors explain response to rituximab therapy for autoimmune rheumatic diseases

Rheumatology (Oxford, England), 2022-04, Vol.61 (Supplement_1)

2022

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ViMMS 2.0: A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics

Journal of open source software, 2022-03, Vol.7 (71), p.3990

2022

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Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunity

EBioMedicine, 2022-12, Vol.86, p.104343, Article 104343

2022

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A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution

Computational statistics, 2017-09, Vol.32 (3), p.803-843

2017

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Sparse hierarchical bayesian models for detecting relevant antigenic sites in virus evolution

Davies, Vinny

2016

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Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunityResearch in context

EBioMedicine, 2022-12, Vol.86, p.104343

2022

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Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability

Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016, Vol.9874, p.14-27

2016

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Genomic Profiling of a Large Set of Diverse Pediatric Cancers Identifies Known and Novel Mutations across Tumor Spectra

Cancer research (Chicago, Ill.), 2017-01, Vol.77 (2), p.509-519

2017

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Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

Optimising outputs from a validated online instrument to measure health-related quality of life (HRQL) in dogs

Measuring the effect of the anti-nerve growth factor antibodies bedinvetmab and frunevetmab on quality of life in dogs and cats with osteoarthritis using a validated health-related quality of life outcome measure: an observational real-world study

Optimisation of Scores Generated by an Online Feline Health-Related Quality of Life (HRQL) Instrument to Assist the Veterinary User Interpret Its Results

Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics

In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics

Validity and Responsiveness of the Generic Health-Related Quality of Life Instrument (VetMetrica™) in Cats With Osteoarthritis. Comparison of Vet and Owner Impressions of Quality of Life Impact

Development of an Early Warning System for Owners Using a Validated Health-Related Quality of Life (HRQL) Instrument for Companion Animals and Its Use in a Large Cohort of Dogs

Corrigendum: Development of an Early Warning System for Owners Using a Validated Health-Related Quality of Life (HRQL) Instrument for Companion Animals and Its Use in a Large Cohort of Dogs

TopNEXt: automatic DDA exclusion framework for multi-sample mass spectrometry experiments

Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance

Rapid Development of Improved Data-Dependent Acquisition Strategies

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A

Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation

Optimising outputs from a validated online instrument to measure health-related quality of life

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model

OA13 Comprehensive genetic and functional analyses of Fc gamma receptors explain response to rituximab therapy for autoimmune rheumatic diseases

ViMMS 2.0: A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics

Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunity

A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution

Sparse hierarchical bayesian models for detecting relevant antigenic sites in virus evolution

Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunityResearch in context

Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability

Genomic Profiling of a Large Set of Diverse Pediatric Cancers Identifies Known and Novel Mutations across Tumor Spectra

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