Dynamic rearrangement of cell states detected by systematic screening of sequential anticancer treatments

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.

本数据集为通过贝叶斯剂量反应框架（Bayesian dose-response framework）生成的建模数据，该框架可从肿瘤学药物矩阵筛选（oncological drug matrix screen）中预测序贯有效药物组合，涵盖黑色素瘤与胰腺癌细胞系中的10000种药物组合。