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Leonid Chindelevitch
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Inferring the effectiveness of government interventions against COVID-19
JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ...
Science 371 (6531), eabd9338, 2021
9392021
A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis
P Miotto, B Tessema, E Tagliani, L Chindelevitch, AM Starks, C Emerson, ...
European Respiratory Journal 50 (6), 2017
3412017
Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematical …
JW Eaton, NA Menzies, J Stover, V Cambiano, L Chindelevitch, A Cori, ...
The Lancet Global Health 2 (1), e23-e34, 2014
2392014
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
M Sharma, S Mindermann, C Rogers-Smith, G Leech, B Snodin, J Ahuja, ...
Nature communications 12 (1), 5820, 2021
1602021
Causal reasoning on biological networks: interpreting transcriptional changes
L Chindelevitch, D Ziemek, A Enayetallah, R Randhawa, B Sidders, ...
Bioinformatics 28 (8), 1114-1121, 2012
1482012
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
1312022
Optimizing a global alignment of protein interaction networks
L Chindelevitch, CY Ma, CS Liao, B Berger
Bioinformatics 29 (21), 2765-2773, 2013
762013
Integrating standardized whole genome sequence analysis with a global Mycobacterium tuberculosis antibiotic resistance knowledgebase
M Ezewudo, A Borens, Á Chiner-Oms, P Miotto, L Chindelevitch, ...
Scientific reports 8 (1), 15382, 2018
752018
Local optimization for global alignment of protein interaction networks
L Chindelevitch, CS Liao, B Berger
Biocomputing 2010, 123-132, 2010
662010
Diabetes fact sheet
WHO
World Health Organisation, 2015
622015
MentaLiST–A fast MLST caller for large MLST schemes
P Feijao, HT Yao, D Fornika, J Gardy, W Hsiao, C Chauve, ...
Microbial genomics 4 (2), e000146, 2018
612018
An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models
L Chindelevitch, J Trigg, A Regev, B Berger
Nature communications 5 (1), 4893, 2014
552014
The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa: results from three tuberculosis-HIV transmission models
C Pretorius, NA Menzies, L Chindelevitch, T Cohen, A Cori, JW Eaton, ...
Aids 28, S25-S34, 2014
532014
Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study
T Cohen, L Chindelevitch, R Misra, ME Kempner, J Galea, P Moodley, ...
The Journal of infectious diseases 213 (11), 1796-1799, 2016
522016
The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries
JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ...
512020
Understanding the effectiveness of government interventions in Europe’s second wave of COVID-19
M Sharma, S Mindermann, C Rogers-Smith, G Leech, B Snodin, J Ahuja, ...
MedRxiv, 2021.03. 25.21254330, 2021
502021
MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis
L Chindelevitch, S Stanley, D Hung, A Regev, B Berger
Genome biology 13, 1-13, 2012
422012
The integrated rapid infectious disease analysis (IRIDA) platform
TC Matthews, FR Bristow, EJ Griffiths, A Petkau, J Adam, D Dooley, ...
BioRxiv, 381830, 2018
392018
Inverting the Viterbi algorithm: an abstract framework for structure design
M Schnall-Levin, L Chindelevitch, B Berger
Proceedings of the 25th international conference on Machine learning, 904-911, 2008
392008
On the inference of parsimonious indel evolutionary scenarios
L Chindelevitch, Z Li, E Blais, M Blanchette
Journal of Bioinformatics and Computational Biology 4 (03), 721-744, 2006
372006
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