Fig. 4: Model performance under various negative sampling methods and analysis of known sample correlations.
From: Benchmarking machine learning methods for synthetic lethality prediction in cancer
A, D show the overall score comparison of the models on the classification and ranking tasks under all three negative sampling methods (NSMs). B, E illustrates the differences between classification and ranking tasks using \({{{{\rm{NSM}}}}}_{{{{\rm{Exp}}}}}\) and NSMRand in different scenarios, as measured by the F1 score and NDCG@10 metrics. Red and blue signify an increase and a decrease, respectively, with darker shades indicating a larger difference. C illustrates the distribution of correlation coefficients between known SL pairs of genes under different data sources. F illustrates the distribution of correlation coefficients between gene expression levels of SL pairs from different label sources.
