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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Biometrics
Hauptverfasser: Fu, Rong, Wang, Pei, Ma, Weiping, Taguchi, Ayumu, Wong, Chee-Hong, Zhang, Qing, Gazdar, Adi, Hanash, Samir M., Zhou, Qinghua, Zhong, Hua, Feng, Ziding
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2016
Schlagworte:
Online Zugang: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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