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Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs
Incorrect drug target identification is a major obstacle in drug discovery. Only 15% of drugs advance from Phase II to approval, with ineffective targets accounting for over 50% of these failures(1–3). Advances in data fusion and computational modeling have independently progressed towards addressin...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589557/ https://www.ncbi.nlm.nih.gov/pubmed/33106501 http://dx.doi.org/10.1038/s41598-020-74922-z |