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Facilitating Drug Discovery in Breast Cancer by Virtually Screening Patients Using In Vitro Drug Response Modeling
SIMPLE SUMMARY: While patient datasets such as The Cancer Genome Atlas (TCGA) often contain a plethora of “-omics” data, the corresponding drug response information are limited and not suited for novel drug discovery. By integrating in vitro high throughput drug screening data and patient tumor mole...
Autores principales: | Gruener, Robert F., Ling, Alexander, Chang, Ya-Fang, Morrison, Gladys, Geeleher, Paul, Greene, Geoffrey L., Huang, R. Stephanie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924213/ https://www.ncbi.nlm.nih.gov/pubmed/33672646 http://dx.doi.org/10.3390/cancers13040885 |
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