Scatter Plot from Scientific Research

Models for NRPCC on sc1C and sc2A scores when controlling for algorithm ID. The left column shows the model fit in the training set composed of titration-series tumors (sampled at five depths each) and five additional tumors ( n = 10 individual tumors). The right column shows the fit in the test set ( n = 30 tumors, comprising the remaining SMC-Het tumors after removing the edge cases). Blue dotted lines with a shaded region show the mean and 95% confidence interval based on scoring ten random algorithm outputs on the corresponding tumor set. The top-performing algorithm for each subchallenge is shown in italic text.

DOI