Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments

April 1, 2016 Leave a comment 7,670 Views

RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in ...

Bayesian Hierarchical Model for Differential Gene Expression Using RNA-seq Data

July 23, 2015 Leave a comment 6,708 Views

A team led by researchers at Ohio State have developed a model-based Bayesian inference to screen for differentially expressed genes based on RNA-seq data. RNA-seq is a high-throughput next-generation sequencing application that can be used to measure the expression of ...

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Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments

Bayesian Hierarchical Model for Differential Gene Expression Using RNA-seq Data

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