NBLDA – negative binomial linear discriminant analysis for RNA-Seq data

September 15, 2016 Leave a comment 5,233 Views

RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to RNA-Seq data, they are not ...

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

July 23, 2015 Leave a comment 7,081 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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NBLDA – negative binomial linear discriminant analysis for RNA-Seq data

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

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