Outlier detection for improved differential splicing quantification from RNA-Seq experiments with replicates

Scott S. Norton, Jorge Vaquero-Garcia, Nicholas F. Lahens, Gregory R. Grant, Yoseph Barash

Abstract: A key component in many RNA-Seq-based studies is contrasting multiple replicates from different experimental conditions. In this setup, replicates play a key role as they allow to capture underlying biological variability inherent to the compared conditions, as well as experimental variability. However, what constitutes a ‘bad’ replicate is not necessarily well defined. Consequently, researchers might discard valuable data or downstream analysis may be hampered by failed experiments.