Variance component score test for time-course gene set analysis of longitudinal RNA-seq data
نویسندگان
چکیده
منابع مشابه
Variance component score test for time-course gene set analysis of longitudinal RNA-seq data.
As gene expression measurement technology is shifting from microarrays to sequencing, the statistical tools available for their analysis must be adapted since RNA-seq data are measured as counts. It has been proposed to model RNA-seq counts as continuous variables using nonparametric regression to account for their inherent heteroscedasticity. In this vein, we propose tcgsaseq, a principled, mo...
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The next generation sequencing technology (RNA-seq) provides absolute quantification of gene expression using counts of read. Transcriptome studies are switching to rely on RNA-seq rather than microarrays since RNA-seq has higher sensitivity and dynamic range, with lower technical variation and thus higher precision than microarrays. Limited work has been done on expression analysis of longitud...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2017
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxx005