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Bayesian models trained with HTS data for predicting β-haematin inhibition and in vitro antimalarial activity
A large quantity of high throughput screening (HTS) data for antimalarial activity has become available in recent years. This includes both phenotypic and target-based activity. Realising the maximum value of these data remains a challenge. In this respect, methods that allow such data to be used fo...
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| Publicado no: | Bioorg Med Chem |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4475507/ https://ncbi.nlm.nih.gov/pubmed/25573118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bmc.2014.12.020 |
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