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.
Package details |
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Author | Hanna Najgebauer, Lucia Trastulla and Francesco Iorio |
Maintainer | Francesco Iorio <francesco.iorio@fht.org> |
License | GNU GPLv3 |
Version | 2.0.1 |
Package repository | View on GitHub |
Installation |
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