najha/CELLector: Genomics guided selection of cancer cell lines

Functions to select the most relevant cancer cell lines to be included in a new in-vitro study, in a genomic-guided fashion. CELLector combines methods from graph theory and market basket analysis; it leverages tumour genomics data to explore, rank, and select optimal cell line models in a user-friendly way, enabling scientists to make appropriate and informed choices about model inclusion/exclusion in retrospective analyses and future studies. Additionally, it allows the selection of models within user-defined contexts, for example, by focusing on genomic alterations occurring in biological pathways of interest or considering only predetermined sub-cohorts of cancer patients. Finally, CELLector identifies combinations of molecular alterations underlying disease subtypes currently lacking representative cell lines, providing guidance for the future development of new cancer models.

Getting started

Package details

AuthorHanna Najgebauer and Francesco Iorio
MaintainerFrancesco Iorio <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
najha/CELLector documentation built on May 3, 2018, 3:15 a.m.