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An Iterative Leave-One-Out Approach to Outlier Detection in RNA-Seq Data
The discrete data structure and large sequencing depth of RNA sequencing (RNA-seq) experiments can often generate outlier read counts in one or more RNA samples within a homogeneous group. Thus, how to identify and manage outlier observations in RNA-seq data is an emerging topic of interest. One of...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4454687/ https://ncbi.nlm.nih.gov/pubmed/26039068 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0125224 |
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