Question: Statistical Tests For Quality Assessment Of Nanostring/Microarray Data
gravatar for Diana
8.0 years ago by
Diana800 wrote:


I know there are a lot of packages out there to perform statistical tests on microarray expression data and I dont know how to adapt them to use for nanostring data which is similar to microarray but the nanostring result files have different extensions from microarrays.

I have done background correction, positive and negative control normalization. Are there any statistical tests that I can perform as part of data assessment after normalization and make plots in R?because I want to cluster this data to get groups of genes with similar expression patterns. My data contains samples across columns and genes or probes in the rows with normalized values. I know how to cluster this data but what statistical tests can I perform and how would they be useful in interpreting the data. Can I use the same packages in bioconductor that have been designed for microarrays?

Many thanks!!!

microarray • 3.2k views
ADD COMMENTlink modified 8.0 years ago by Larry_Parnell16k • written 8.0 years ago by Diana800
gravatar for Larry_Parnell
8.0 years ago by
Boston, MA USA
Larry_Parnell16k wrote:

Have you tried a Q test, or False Discovery Rate? You can set FDR to 0.05, or even 0.10. Some even set a threshold of 0.2 for FDR.

ADD COMMENTlink written 8.0 years ago by Larry_Parnell16k

Can I perform a Q-test and FDR on normalized expression data in R?

ADD REPLYlink written 8.0 years ago by Diana800

I do not know, but I suspect that the popularity of R has made such a test or package available. I found this link - - for just such a test.

ADD REPLYlink written 8.0 years ago by Larry_Parnell16k
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 816 users visited in the last hour