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Assessing Pathogens for Natural versus Laboratory Origins Using Genomic Data and Machine Learning
Tonia Korves, Christopher Garay, Heather A. Carleton, Ashley Sabol, Eija Trees, Matthew W. Peterson
doi: https://doi.org/10.1101/079541
Tonia Korves
1Data Analytics Department, The MITRE Corporation, Bedford, Massachusetts, United States of America
Christopher Garay
1Data Analytics Department, The MITRE Corporation, Bedford, Massachusetts, United States of America
Heather A. Carleton
2Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
Ashley Sabol
2Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
Eija Trees
2Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
Matthew W. Peterson
1Data Analytics Department, The MITRE Corporation, Bedford, Massachusetts, United States of America
Article usage
Posted October 06, 2016.
Assessing Pathogens for Natural versus Laboratory Origins Using Genomic Data and Machine Learning
Tonia Korves, Christopher Garay, Heather A. Carleton, Ashley Sabol, Eija Trees, Matthew W. Peterson
bioRxiv 079541; doi: https://doi.org/10.1101/079541
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