Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

BACKGROUND: Cancer patients with advanced disease routinely exhaust available clinical regimens and lack actionable genomic medicine results, leaving a large patient population without effective treatments options when their disease inevitably progresses. To address the unmet clinical need for evide...

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Detalles Bibliográficos
Autores principales: Berlow, Noah E., Rikhi, Rishi, Geltzeiler, Mathew, Abraham, Jinu, Svalina, Matthew N., Davis, Lara E., Wise, Erin, Mancini, Maria, Noujaim, Jonathan, Mansoor, Atiya, Quist, Michael J., Matlock, Kevin L., Goros, Martin W., Hernandez, Brian S., Doung, Yee C., Thway, Khin, Tsukahara, Tomohide, Nishio, Jun, Huang, Elaine T., Airhart, Susan, Bult, Carol J., Gandour-Edwards, Regina, Maki, Robert G., Jones, Robin L., Michalek, Joel E., Milovancev, Milan, Ghosh, Souparno, Pal, Ranadip, Keller, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580486/
https://www.ncbi.nlm.nih.gov/pubmed/31208434
http://dx.doi.org/10.1186/s12885-019-5681-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580486/
https://www.ncbi.nlm.nih.gov/pubmed/31208434
http://dx.doi.org/10.1186/s12885-019-5681-6

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