Additional file 3: of Drug repositioning of herbal compounds via a machine-learning approach

Table S3. Detailed prediction results of existing drugs. Table S4. Detailed prediction results of herbal compounds. (XLSX 15 kb)

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PID https://www.doi.org/10.6084/m9.figshare.8196443
PID https://www.doi.org/10.6084/m9.figshare.8196443.v1
URL https://figshare.com/articles/Additional_file_3_of_Drug_repositioning_of_herbal_compounds_via_a_machine-learning_approach/8196443
URL http://dx.doi.org/10.6084/m9.figshare.8196443.v1
URL https://dx.doi.org/10.6084/m9.figshare.8196443
URL https://dx.doi.org/10.6084/m9.figshare.8196443.v1
URL http://dx.doi.org/10.6084/m9.figshare.8196443
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Access Right Open Access
Attribution

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Author Eunyoung Kim
Author A-Sol Choi
Author Hojung Nam
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Collected From Datacite; figshare
Hosted By figshare
Publication Date 2019-05-29
Publisher Figshare
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Language Undetermined
Resource Type Dataset
keyword FOS: Chemical sciences
keyword FOS: Mathematics
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::6a51fc9bfd2533603eb7060e6af09d8e
Author jsonws_user
Last Updated 13 January 2021, 16:11 (CET)
Created 13 January 2021, 16:11 (CET)