Data for Synthetic lethal connectivity and graph transformer improve synthetic lethality prediction

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Here stores the data we used to train and evaluate our MLEC-iSL model for individual sample-specific synthetic lethality prediction. There are two types of features used in our model: omics features and biological networks. For omics features, there are two CCLE profiles (expression and essentiality) and four cell-specific features (expression, essentiality, mutation and copy number) considered in our model. As for network features, we incorporate physical protein-protein interaction (PPI) network, genetic interaction network and pathway network.

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