Synthetic lethality has been widely concerned because of its potential role in cancer treatment, which can be harnessed to selectively kill cancer cells via identifying inactive genes in a specific cancer and further targeting the corresponding synthetic lethal partners.

CSSL database provides precise cancer-specific synthetic lethal interactions, it is user-friendly for data searching, browsing and analyzing. These results will contribute to drug designing in cancer treatment that promotes therapy strategies based on the principle of synthetic lethality.

We integrate multi-molecule level data and apply OCSVM to fit the mechanism of synthetic lethal interaction to predict unbiased synthetic lethal gene combinations in cancer. Then, two statistical inference strategies were used to analyze and predict the synthetic lethal gene combinations of 33 types of cancer in TCGA, and high-quality synthetic lethal genomes were obtained for each cancer type