A Multi-Label Learning Framework for Predicting Chemical Classes and Biological Activities of Natural Products from Biosynthetic Gene Clusters
Crossref DOI link: https://doi.org/10.1007/s10886-023-01452-z
Published Online: 2023-10-02
Published Print: 2023-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mei, Suyu
Text and Data Mining valid from 2023-10-02
Version of Record valid from 2023-10-02
Article History
Received: 15 January 2023
Revised: 28 August 2023
Accepted: 13 September 2023
First Online: 2 October 2023
Declarations
:
: The authors declare no competing interests.