Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

标题
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
作者
关键词
Sequence alignment, Coronaviruses, Viral genomics, Machine learning, Viral taxonomy, Taxonomy, Bats, Comparative genomics
出版物
PLoS One
Volume 15, Issue 4, Pages e0232391
出版商
Public Library of Science (PLoS)
发表日期
2020-04-25
DOI
10.1371/journal.pone.0232391

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