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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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Detalles Bibliográficos
Autores principales: George, Nysia I., Bowyer, John F., Crabtree, Nathaniel M., Chang, Ching-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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