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Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
BACKGROUND: The last decade has seen a major increase in the availability of genomic data. This includes expert-curated databases that describe the biological activity of genes, as well as high-throughput assays that measure gene expression in bulk tissue and single cells. Integrating these heteroge...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340371/ https://www.ncbi.nlm.nih.gov/pubmed/34353329 http://dx.doi.org/10.1186/s13040-021-00263-w |