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A Hierarchical Bayesian Mixture Model for Inferring the Expression State of Genes in Transcriptomes

2019-07-23

Abstract excerpt

Transcriptomes are key to understanding the relationship between genotype and phenotype. The ability to infer the expression state (active or inactive) of genes in the transcriptome offers unique benefits for addressing this issue. For example, qualitative changes in gene expression may underly the origin of novel phenotypes, and expression states are readily comparable between tissues and species. However, inferr...

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Literature Corpus work
3e4dfb66-37f4-5f5e-a717-622d72384a9d
DOI
10.1101/711630
Open publication

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A Hierarchical Bayesian Mixture Model for Inferring the Expression State of Genes in TranscriptomesDOI 10.1101/711630
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