Correlation for meta-analysis assessing inter-platform reliability
0
0
Entering edit mode
4.4 years ago
ab123 ▴ 50

Hey there,

I'm a tad confused as to the best method to assess platform reliability after conducting a meta-analysis.

I've run both Pearson correlations on 50 common top genes across logFCs from all included data sets in a meta analysis as well as Bland-Altman. I understand that they assess very different things.

There are various conflicting studies on this with some using correlation to discuss agreement between microarray platforms and others the B-A.

The other confusing issue for me is whether I need them at all. If I'm assessing the top 50 genes or say even all of them from a meta analysis, can I truly talk about platform agreement here? Isn't biological sample variation and therefore measurement variation to be expected?

Thanks for any insights, pointers etc.!

post-hoc microarray pearson bland-altman • 931 views
ADD COMMENT

Login before adding your answer.

Traffic: 2289 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