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Predicting clinically promising therapeutic hypotheses using tensor factorization
BACKGROUND: Determining which target to pursue is a challenging and error-prone first step in developing a therapeutic treatment for a disease, where missteps are potentially very costly given the long-time frames and high expenses of drug development. With current informatics technology and machine...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368709/ https://www.ncbi.nlm.nih.gov/pubmed/30736745 http://dx.doi.org/10.1186/s12859-019-2664-1 |