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SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning
BACKGROUND: In cancer research, high-throughput screening technologies produce large amounts of multiomics data from different populations and cell types. However, analysis of such data encounters difficulties due to disease heterogeneity, further exacerbated by human biological complexity and genom...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511701/ https://www.ncbi.nlm.nih.gov/pubmed/36155782 http://dx.doi.org/10.1093/gigascience/giac087 |