Additional file 2 of Extracting chemical reactions from text using Snorkel
收藏DataCite Commons2020-08-25 更新2024-07-28 收录
下载链接：
https://springernature.figshare.com/articles/Additional_file_2_of_Extracting_chemical_reactions_from_text_using_Snorkel/12381551
下载链接
链接失效反馈官方服务：
资源简介：
Additional file 2. Tab-delimited file contains the list of 6871 extracted bacterial chemical reactions. The supplemental data file contains NCBI PubMed identifiers (i.e., pmids), sentence number, extracted chemicals and character positions in the abstract text, and training marginals for the prediction algorithm. All extracted chemical reactions are predicted as chemical reactions from the discriminative model.
提供机构：
figshare
创建时间：
2020-05-28
