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A supervised statistical learning approach for accurate Legionella pneumophila source attribution during outbreaks
Andrew H. Buultjens, Kyra Y. L. Chua, Sarah L. Baines, Jason Kwong, Wei Gao, Zoe Cutcher, Stuart Adcock, Susan Ballard, Takehiro Tomita, Nela Subasinghe, Glen Carter, Sacha J. Pidot, Lucinda Franklin, Torsten Seemann, Anders Gonçalves Da Silva, Benjamin P. Howden, Timothy P. Stinear
doi: https://doi.org/10.1101/133033
Andrew H. Buultjens
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
Kyra Y. L. Chua
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Sarah L. Baines
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Jason Kwong
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Wei Gao
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
Zoe Cutcher
4Health Protection Branch, Department of Health and Human Services, Victoria, Australia
5National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
Stuart Adcock
4Health Protection Branch, Department of Health and Human Services, Victoria, Australia
Susan Ballard
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Takehiro Tomita
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Nela Subasinghe
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Glen Carter
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Sacha J. Pidot
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Lucinda Franklin
4Health Protection Branch, Department of Health and Human Services, Victoria, Australia
Torsten Seemann
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
6Victorian Life Sciences Computational Initiative, The University of Melbourne, Victoria, Australia
Anders Gonçalves Da Silva
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Benjamin P. Howden
1Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Timothy P. Stinear
2Doherty Applied Microbial Genomics, The Peter Doherty Institute for Infection and Immunity, Victoria, Australia
3Microbiological Diagnostic Unit Public Health Laboratory at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Victoria, Australia
Article usage
Posted May 02, 2017.
A supervised statistical learning approach for accurate Legionella pneumophila source attribution during outbreaks
Andrew H. Buultjens, Kyra Y. L. Chua, Sarah L. Baines, Jason Kwong, Wei Gao, Zoe Cutcher, Stuart Adcock, Susan Ballard, Takehiro Tomita, Nela Subasinghe, Glen Carter, Sacha J. Pidot, Lucinda Franklin, Torsten Seemann, Anders Gonçalves Da Silva, Benjamin P. Howden, Timothy P. Stinear
bioRxiv 133033; doi: https://doi.org/10.1101/133033
A supervised statistical learning approach for accurate Legionella pneumophila source attribution during outbreaks
Andrew H. Buultjens, Kyra Y. L. Chua, Sarah L. Baines, Jason Kwong, Wei Gao, Zoe Cutcher, Stuart Adcock, Susan Ballard, Takehiro Tomita, Nela Subasinghe, Glen Carter, Sacha J. Pidot, Lucinda Franklin, Torsten Seemann, Anders Gonçalves Da Silva, Benjamin P. Howden, Timothy P. Stinear
bioRxiv 133033; doi: https://doi.org/10.1101/133033
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