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Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns
Identification of actionable genomic vulnerabilities is key to precision oncology. Utilizing a large-scale drug screening in patient-derived xenografts, we uncover driver gene alteration connections, derive driver co-occurrence (DCO) networks, and relate these to drug sensitivity. Our collection of...
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| Pubblicato in: | Genome Med |
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| Autori principali: | , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7488324/ https://ncbi.nlm.nih.gov/pubmed/32907621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13073-020-00774-x |
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