Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN
Crossref DOI link: https://doi.org/10.1038/s41598-022-06449-4
Published Online: 2022-02-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kuang, Xingyan
Wang, Fan
Hernandez, Kyle M.
Zhang, Zhenyu
Grossman, Robert L.
Text and Data Mining valid from 2022-02-14
Version of Record valid from 2022-02-14
Article History
Received: 23 September 2021
Accepted: 31 January 2022
First Online: 14 February 2022
Competing interests
: The authors declare no competing interests.