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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454687/ https://www.ncbi.nlm.nih.gov/pubmed/26039068 http://dx.doi.org/10.1371/journal.pone.0125224 |