Authors

Discussion

The Cancer Dependency Map (DepMap) portal provides a wealth of cell line data enabling data-driven research into cancer vulnerabilities. In this work we develop an analysis pipeline to identify biomarkers which are predictive of a cell line being sensitive to the CRISPR knockdown of a candidate gene.

The pipeline has been developed to be sufficiently complex as to identify non-linear multivariate dependencies, whilst balancing this complexity with computational efficiency such that analyses can be performed in real time by end-users.

We illustrate the output of such an analyses for the selective gene epidermal growth factor receptor.