Problem in analysing Agilent single color data using LIMMA
1
0
Entering edit mode
@muralidharan-v-5243
Last seen 10.2 years ago
Hai, I had few questions regarding the analysis of Agilent microarray data using the LIMMA pacakge. Is it possible to analyse the single color data using the R+Bioconductor using the LIMMA package? We dont have the replicates instead of that we have pooled the samples before sending for the analysis. So is it possible to use the LIMMA package without having any replicates. -- [[alternative HTML version deleted]]
Microarray limma Microarray limma • 958 views
ADD COMMENT
0
Entering edit mode
@james-w-macdonald-5106
Last seen 5 hours ago
United States
On 4/27/2012 1:48 AM, Muralidharan V wrote: > Hai, > > I had few questions regarding the analysis of Agilent microarray data > using the LIMMA pacakge. > > Is it possible to analyse the single color data using the R+Bioconductor > using the LIMMA package? We dont have the replicates instead of that we > have pooled the samples before sending for the analysis. > So is it possible to use the LIMMA package without having any replicates. You can analyze single color Agilent microarray data with limma. However, if you don't have replicates you cannot do anything more than compute fold change (which being trivial, is not something that limma does). Best, Jim > > > -- > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician University of Washington Environmental and Occupational Health Sciences 4225 Roosevelt Way NE, # 100 Seattle WA 98105-6099
ADD COMMENT

Login before adding your answer.

Traffic: 657 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