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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Bibliographic Details
Main Authors: George, Nysia I., Bowyer, John F., Crabtree, Nathaniel M., Chang, Ching-Wei
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454687/