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CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones

MOTIVATION: Single-cell RNA-sequencing (scRNA-seq) has enabled studies of tissue composition at unprecedented resolution. However, the application of scRNA-seq to clinical cancer samples has been limited, partly due to a lack of scRNA-seq algorithms that integrate genomic mutation data. RESULTS: To...

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Библиографические подробности
Опубликовано в: :Bioinformatics
Главные авторы: Müller, Sören, Cho, Ara, Liu, Siyuan J, Lim, Daniel A, Diaz, Aaron
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2018
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7190654/
https://ncbi.nlm.nih.gov/pubmed/29897414
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty316
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