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.

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