Extended Data Fig. 2: Weights for the LR Clinical model. | Nature Cancer

Extended Data Fig. 2: Weights for the LR Clinical model.

From: Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer

Extended Data Fig. 2

Coefficient results for clinical features from the 10-fold train–test scheme for the LR Clinical model. The box-and-whisker plots show the mean and the interquartile range (25–75%) as boxes, the minimum and maximum as whiskers up to 1.5 times the IQR and datapoints outside the IQR range as diamonds, for N = 10 fits. The adjoined bar plot shows the number of times, for a given feature, the following criteria were satisfied: (1) if applicable, the feature was selected as part of the radiomics filtering process, (2) the magnitude of the feature’s weight was at least 1 standard deviation from zero and (3) the magnitude of the feature’s weight was greater than 0.01. Only coefficients selected more than once are shown, up to 100.

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