bioconductor-mslp
Predict synthetic lethal partners of tumour mutations
Predict synthetic lethal partners of tumour mutations
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An integrated pipeline to predict the potential synthetic lethality partners (SLPs) of tumour mutations, based on gene expression, mutation profiling and cell line genetic screens data. It has builtd-in support for data from cBioPortal. The primary SLPs correlating with muations in WT and compensating for the loss of function of mutations are predicted by random forest based methods (GENIE3) and Rank Products, respectively. Genetic screens are employed to identfy consensus SLPs leads to reduced cell viability when perturbed.
Summary
Predict synthetic lethal partners of tumour mutations
Last Updated
Dec 26, 2024 at 01:26
License
GPL-3
Total Downloads
4.9K
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