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Clara Grazian
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The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
TM Walker, P Miotto, CU Köser, PW Fowler, J Knaggs, Z Iqbal, M Hunt, ...
The Lancet Microbe 3 (4), e265-e273, 2022
1192022
Validating a 14-drug microtiter plate containing bedaquiline and delamanid for large-scale research susceptibility testing of Mycobacterium tuberculosis
PMV Rancoita, F Cugnata, AL Gibertoni Cruz, E Borroni, SJ Hoosdally, ...
Antimicrobial agents and chemotherapy 62 (9), 10.1128/aac. 00344-18, 2018
762018
Application of machine learning techniques to tuberculosis drug resistance analysis
DACCC Samaneh Kouchaki, Yang Yang, T Walker, A Sarah Walker, Daniel J Wilson ...
Bioinformatics 35 (13), 2276-2282, 2019
692019
Accelerating Metropolis-Hastings algorithms by delayed acceptance
M Banterle, C Grazian, A Lee, CP Robert
arXiv preprint arXiv:1503.00996, 2015
592015
Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of M. tuberculosis
CRyPTIC Consortium
European Respiratory Journal 60 (4), 2022
422022
A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics
PLoS Biology 20 (8), 2022
41*2022
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
DAC Yang Yang, Timothy M Walker, A Sarah Walker, Daniel J Wilson, Timothy E ...
Bioinformatics, 1-10, 2019
39*2019
Genome-wide association studies of global Mycobacterium tuberculosis resistance to 13 antimicrobials in 10,228 genomes identify new resistance mechanisms
PLoS Biology 20 (8), 2022
31*2022
GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes
Molecular Biology and Evolution, 2020
302020
GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes
Molecular Biology and Evolution, 2020
30*2020
Catalogue of mutations in Mycobacterium tuberculosis complex and their association with drug resistance
WHO
World Health Organization, 2021
292021
Approximating the Likelihood in ABC
CC Drovandi, C Grazian, K Mengersen, C Robert
Handbook of approximate bayesian computation, 321-368, 2018
252018
Approximate Bayesian inference in semiparametric copula models
C Grazian, B Liseo
252017
A review of approximate Bayesian computation methods via density estimation: Inference for simulator‐models
C Grazian, Y Fan
Wiley Interdisciplinary Reviews: Computational Statistics 12 (4), e1486, 2020
212020
Jeffreys priors for mixture estimation: Properties and alternatives
C Grazian, CP Robert
Computational Statistics & Data Analysis 121, 149-163, 2018
212018
Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis
L Sonnenkalb, JJ Carter, A Spitaleri, Z Iqbal, M Hunt, KM Malone, ...
The Lancet Microbe 4 (5), e358-e368, 2023
122023
Minos: variant adjudication and joint genotyping of cohorts of bacterial genomes
Z Hunt, M., Letcher, B., Malone, K. M., Nguyen, G., Hall, M. B., Colquhoun ...
Genome Biology 23 (1), 1-23, 2022
12*2022
Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching
M Banterle, C Grazian, CP Robert
arXiv preprint arXiv:1406.2660, 2014
122014
Jeffreys’ priors for mixture estimation
C Grazian, CP Robert
Bayesian Statistics from Methods to Models and Applications: Research from …, 2015
112015
On a loss-based prior for the number of components in mixture models
C Grazian, C Villa, B Liseo
Statistics & Probability Letters 158, 108656, 2020
102020
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Articles 1–20