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

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