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Article

Patterns of extreme outlier RNA expression in population data reveal sporadic over-activation of genes with co-regulated modules in subsets of individuals

2024-10-04

Abstract excerpt

<h4>Background</h4> Most RNA-Seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier expression. <h4>Results</h4> Our study is based on multiple datasets, including outbred and inbred mice, humans from the GTEx dataset, di...

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Literature Corpus work
d5809455-60df-5052-8a46-72e93193f0c8
DOI
10.1101/2024.10.04.616600
Open publication

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Patterns of extreme outlier RNA expression in population data reveal sporadic over-activation of genes with co-regulated modules in subsets of individualsDOI 10.1101/2024.10.04.616600
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