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A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data
In this paper, we propose a new statistical method –MutRSeq– for detecting differentially expressed single nucleotide variants (SNVs) based on RNA-seq data. Specifically, we focus on non-synonymous mutations and employ a hierarchical likelihood approach to jointly model observed mutation events as w...
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| 出版年: | Biometrics |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5151178/ https://ncbi.nlm.nih.gov/pubmed/27276420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12548 |
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