Statistical approach to identifying outliers in RNAseq data?
0
0
Entering edit mode
4.1 years ago
Lina F ▴ 200

Hi All,

I am looking at a larger RNAseq dataset (144 samples) and I did some exploratory data analysis to look at clustering. From the PCA plot, it looks like there is a sample that clusters with a different group than expected (see the blue dot below among all the red dots). Based on this figure, I'd probably flag this as an outlier. I have four replicates for this sample, so losing one is probably fine if it improves the overall results.

What is the appropriate statistical approach to detect outliers in a more rigorous way?

Thanks for any insight!

enter image description here

RNA-Seq outliers detection statistics • 1.6k views
ADD COMMENT

Login before adding your answer.

Traffic: 1148 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6