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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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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | 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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