Carregant...
Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction
Many chemicals that disrupt endocrine function have been linked to a variety of adverse biological outcomes. However, screening for endocrine disruption using in vitro or in vivo approaches is costly and time-consuming. Computational methods, e.g. Quantitative Structure-Activity Relationship models,...
Guardat en:
| Publicat a: | Mol Pharm |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6181119/ https://ncbi.nlm.nih.gov/pubmed/30114914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.molpharmaceut.8b00546 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|