Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
نویسندگان
چکیده
منابع مشابه
Statistical methods for identifying differentially Expressed genes in microarray data
Microarray is a recently developed functional genomic technology that has powerful applications in a wide array of biological research areas, including the medical sciences, agriculture, biotechnology and environmental studies. One of the important problems in the analysis of microarray data is the identification of differentially expressed genes. Commonly used approaches for identifying differ...
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This report is based on a paper about statistical methods for determining differences in gene expression by Dudoit et al. (2000). Following the approaches employed in the original publication we analysed a subset of the cDNA microarray data used by Dudoit to provide an answer to the question whether the same results can be obtained from the limited data source than from the full set. Our result...
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RNA-Seq technologies are quickly revolutionizing genomic studies, and statistical methods for RNA-seq data are under continuous development. Timely review and comparison of the most recently proposed statistical methods will provide a useful guide for choosing among them for data analysis. Particular interest surrounds the ability to detect differential expression (DE) in genes. Here we compare...
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Motivation: Univariate testing procedures remain the most common way to identify differentially expressed genes (DEGs). Univariate techniques suffer from the multiple comparison problem and reduced power, because they fail to account for gene interaction. Motivated by these issues, we adopt a multivariate procedure. Namely, we utilize the sup-norm test, which was specifically developed for high...
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RNA sequencing (RNA-Seq) enables the measurement and comparison of gene expression with isoform-level quantification. Differences in the effect of each isoform may make traditional methods, which aggregate isoforms, ineffective. Here, we introduce a variance component-based test that can jointly test multiple isoforms of one gene to identify differentially expressed (DE) genes, especially those...
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ژورنال
عنوان ژورنال: Cell & Bioscience
سال: 2012
ISSN: 2045-3701
DOI: 10.1186/2045-3701-2-26