Article

Detecting expressed cancer somatic mutations from single-cell RNA sequencing data

2021-10-09

Abstract excerpt

Identifying expressed somatic mutations directly from single-cell RNA sequencing (scRNA-seq) data is challenging but highly valuable. Computational methods have been attempted but no reliable methods have been reported to identify somatic mutations with high fidelity. We present RESA -- Recurrently Expressed SNV Analysis, a computational framework that identifies expressed somatic mutations from scRNA-seq data wit...

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Literature Corpus work: 36afcbee-3e1a-5d0b-8f18-9d7b5259b900
DOI: 10.1101/2021.10.08.463191

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