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Fig. 5 | BMC Bioinformatics

Fig. 5

From: The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

Fig. 5

Pipeline to test the performance of the shape-based assumption in patient survival prediction. This pipeline is used once for each assumption: shape, symmetric and random where the difference occurs in step 2. For the shape assumption, we will separate the samples using the shape (Fig. 4a–c) and then compute the p value with a log-rank test. For the symmetric assumption, we will separate the samples into two groups using the same splitting rule for all the genes (Fig. 4a) and then compute the p value with a log-rank test. For the random assumption, the 100 genes are just chosen at random from the dataset and then compute the p value with a log-rank test

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