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Active machine learning-driven experimentation to determine compound effects on protein patterns
High throughput screening determines the effects of many conditions on a given biological target. Currently, to estimate the effects of those conditions on other targets requires either strong modeling assumptions (e.g. similarities among targets) or separate screens. Ideally, data-driven experiment...
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| Publicado no: | eLife |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
eLife Sciences Publications, Ltd
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4798950/ https://ncbi.nlm.nih.gov/pubmed/26840049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.10047 |
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