Article

CELLector: Genomics Guided Selection of Cancer in vitro Models

2018-03-03

Abstract excerpt

The selection of appropriate cancer models is a key prerequisite for maximising translational potential and clinical relevance of in vitro oncology studies. We developed CELLector: a computational method (implemented in an open source R Shiny application and R package) allowing researchers to select the most relevant cancer cell lines in a patient-genomic guided fashion. CELLector leverages tumour genomics data to...

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Literature Corpus work: daa6cc14-2dcc-59e8-80e5-e3ce446a933e
DOI: 10.1101/275032

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