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Prediction of Compound Profiling Matrices Using Machine Learning
[Image: see text] Screening of compound libraries against panels of targets yields profiling matrices. Such matrices typically contain structurally diverse screening compounds, large numbers of inactives, and small numbers of hits per assay. As such, they represent interesting and challenging test c...
Tallennettuna:
| Julkaisussa: | ACS Omega |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Chemical Society
2018
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| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6045364/ https://ncbi.nlm.nih.gov/pubmed/30023899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.8b00462 |
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