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Leonid Chindelevitch

Showing results (21-30 of 59) with videos related to

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Bioinformatics (Oxford, England)|February 15, 2023
Generalizations of the genomic rank distance to indelsJoão Paulo Pereira Zanetti, Lucas Peres Oliveira, Leonid Chindelevitch, et al.
Microbial Genomics|June 24, 2021
SplitStrains, a tool to identify and separate mixed <i>Mycobacterium tuberculosis</i> infections from WGS dataEinar Gabbassov, Miguel Moreno-Molina, Iñaki Comas, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 18, 2023
Counting Sorting Scenarios and Intermediate Genomes for the Rank DistanceJoao Paulo Pereira Zanetti, Lucas Peres Oliveira, Joao Meidanis, et al.
Bioinformatics (Oxford, England)|October 23, 2023
fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typingRomain Derelle, John Lees, Jody Phelan, et al.
Algorithms for Molecular Biology : AMB|August 11, 2021
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosisHooman Zabeti, Nick Dexter, Amir Hosein Safari, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Collaborative intra-tumor heterogeneity detectionSahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, et al.
Journal of the Royal Society, Interface|April 17, 2015
Evaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosisLeonid Chindelevitch, Nicolas A Menzies, Carel Pretorius, et al.
BMC Bioinformatics|March 27, 2012
Correlation set analysis: detecting active regulators in disease populations using prior causal knowledgeChia-Ling Huang, John Lamb, Leonid Chindelevitch, et al.
Microbial Genomics|March 26, 2024
Optimising machine learning prediction of minimum inhibitory concentrations in <i>Klebsiella pneumoniae</i>Gherard Batisti Biffignandi, Leonid Chindelevitch, Marta Corbella, et al.
Scientific Reports|March 27, 2025
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learningAlexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, et al.
Pageof 6

Showing results (21-30 of 59) with videos related to

Sort By:
Pageof 6
Bioinformatics (Oxford, England)|February 15, 2023
Generalizations of the genomic rank distance to indelsJoão Paulo Pereira Zanetti, Lucas Peres Oliveira, Leonid Chindelevitch, et al.
Microbial Genomics|June 24, 2021
SplitStrains, a tool to identify and separate mixed <i>Mycobacterium tuberculosis</i> infections from WGS dataEinar Gabbassov, Miguel Moreno-Molina, Iñaki Comas, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 18, 2023
Counting Sorting Scenarios and Intermediate Genomes for the Rank DistanceJoao Paulo Pereira Zanetti, Lucas Peres Oliveira, Joao Meidanis, et al.
Bioinformatics (Oxford, England)|October 23, 2023
fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typingRomain Derelle, John Lees, Jody Phelan, et al.
Algorithms for Molecular Biology : AMB|August 11, 2021
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosisHooman Zabeti, Nick Dexter, Amir Hosein Safari, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Collaborative intra-tumor heterogeneity detectionSahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, et al.
Journal of the Royal Society, Interface|April 17, 2015
Evaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosisLeonid Chindelevitch, Nicolas A Menzies, Carel Pretorius, et al.
BMC Bioinformatics|March 27, 2012
Correlation set analysis: detecting active regulators in disease populations using prior causal knowledgeChia-Ling Huang, John Lamb, Leonid Chindelevitch, et al.
Microbial Genomics|March 26, 2024
Optimising machine learning prediction of minimum inhibitory concentrations in <i>Klebsiella pneumoniae</i>Gherard Batisti Biffignandi, Leonid Chindelevitch, Marta Corbella, et al.
Scientific Reports|March 27, 2025
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learningAlexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, et al.
Pageof 6