Dynamic rearrangement of cell states detected by systematic screening of sequential anticancer treatments
Published: 1 July 2020| Version 7 | DOI: 10.17632/wgybvcvjwf.7
Contributors:
Simon Koplev,
James Longden,
Jesper Ferkinghoff-Borg,
Rune Linding
Description
Modeled data generated by a Bayesian dose-response framework predicting sequentially effective drug combinations from an oncological drug matrix screen, comprising 10,000 drug combinations in melanoma and pancreatic cancer cell lines.
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Categories
Cancer, Markov Chain Monte Carlo, Cancer Chemotherapy, Bayesian Method, Drug Combination