CurveCurator: A recalibrated F-statistic to assess, classify, and explore significance of dose-response curves - Example Datasets

CurveCurator is an open-source analysis platform for any dose-dependent data. It fits a classical 4-parameter equation to estimate effect potency, effect size, and the statistical significance of the observed response. 2D-thresholding efficiently reduces false positives in high-throughput experiments and separates relevant from irrelevant or insignificant hits in an automated and unbiased manner. An interactive dashboard allows users to quickly explore data locally. <br> Here, we store example dose-dependent data, parameter files, and the corresponding CurveCurator pipeline outputs (v.0.2.0). Example data sets include Kinobeads Drug-binding data (1), CTRP Viability data sets (2), and deryptM Proteomics data sets (3). The F-value matrices for developing the CurveCurator tools are deposited as well. Original data sources: (1) https://doi.org:10.1126/science.aan4368 (2) https://doi.org:10.1158/2159-8290.CD-15-0235 (3) https://doi.org:10.1126/science.ade3925