Hey folks,
I am new to the DepMap resource & diving into cancer dependency data. Also I have been exploring the dataset but I am a bit overwhelmed with where to start and what tools to use for analysis. I want to identify key genetic dependencies in certain cancer types to prioritize targets for further study.
Has anyone here worked with DepMap data extensively? What is your go-to approach or pipeline for filtering and interpreting the dependency scores? Also, are there any recommended tools or R/Python packages that make this easier?
I am interested in how to integrate gene expression or mutation data alongside dependencies to get a clearer picture. If you know any good Python tutorial focused on this kind of data analysis, that would be amazing!
Also i have check this Clarifying the Criteria for Identifying Oncogenic Alterations in DepMap Cell Line Data Any tips, tutorials, or example workflows would be helpful for me.
Thank you.
