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We developed a model-based method to more accurately quantify the expression levels of a gene in RNA-seq. It is like MBNI, or model-based expression index, proposed by Cheng Li and Wing Wong for microarray data.
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This page is a summary of: Using Poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq, Bioinformatics, November 2011, Oxford University Press (OUP),
DOI: 10.1093/bioinformatics/btr616.
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