What can I do after enrichment of expression microarray?
Hello everyone,
- Now I have a number of mRNA expression microarray which from blood in mouse disease model. After I analyse DEGs and function enrichment, I find some genes related with disease. Then I check it in GEO database (which is from blood of human) and validate our results in this dataset. But I plan to do further more. I check many paper, mostly were focused on wet lab. Is there some dry lab for me to do with them?
- If I'm only interest in some genes(nearly 100), can i just filter the expression to only these genes and do the DEGs via limma? I think it may increase the statistic power or not? Thank you
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
Ways to normalize for number of mitocondria in RNA-Seq data
written by Sasha
-
Gene set enrichment (GSEA) - Arabidopsis - Public RNA-seq data
written by sumanth •
-
What is the best way to analyze and enrich a list of DE genes from RNAseq?
written by mario.red8976
-
Machine learning using microarray data
written by Gene_MMP8
-
RNAseq : whole transcriptome vs targeted for differential expression analysis
written by guillaume.rbt
-
How to efficiently fetch methylation beta values across multiple genes for multiple samples?
written by n,n
-
Subset DGEList by treatment-specific expression
written by fcamus •
-
Statistical power/Sample size/Sensitivity related Question
written by Helastola •
-
Use DEG for meta-analysis
written by elhamdallalbashi •
-
Correlation between two expression matrices in blood and tumor
written by Palgrave •
