Body: <p>I was searching for a set of keyterms in the GEO database. After making my PRISMA chart I ended up having 2 datasets only. My Question is can proceed with aggregating those 2 microarray datasets and perform meta-analysis?</p>
  <p>I could extract only two NCBI Gene Expression Omnibus (GEO) Data Series (GSE IDs) for my specific research query on stroke. I will add and then average the microarray output from both datasets.</p>
  <p><strong>Can I pool those 2 datasets for meta-analysis?</strong></p>
  <p><em>As no more datasets are relevant for consideration, is a meta-analysis with 2 datasets valid in this scenario?</em></p>
  <p>[ Please mention any References (book, article) that I can cite to support meta-analysis with 2 datasets.]</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-09-19T08:28:53.853Z
Comments.Text: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Comments.UserDisplayName: Community
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-09-19T19:21:32.107Z
Comments.Text: Briefly, yes. If they have a common standard between then, ensuring standardisation is performed between datasets. Otherwise, internally standardising the data sets using e.g. z-score.
Comments.UserDisplayName: M__
Tags: <rna-seq><transcriptome><microarray><geo><meta-analysis>
Title: Meta-analysis with 2 GEO transcriptomic datasets possible?
ThreadText: # Meta-analysis with 2 GEO transcriptomic datasets possible?
  
  (Asked by: username_0 on 2024-09-19)
  
  I was searching for a set of keyterms in the GEO database. After making my PRISMA chart I ended up having 2 datasets only. My Question is can proceed with aggregating those 2 microarray datasets and perform meta-analysis?
  
  I could extract only two NCBI Gene Expression Omnibus (GEO) Data Series (GSE IDs) for my specific research query on stroke. I will add and then average the microarray output from both datasets.
  
  **Can I pool those 2 datasets for meta-analysis?**
  
  *As no more datasets are relevant for consideration, is a meta-analysis with 2 datasets valid in this scenario?*
  
  [ Please mention any References (book, article) that I can cite to support meta-analysis with 2 datasets.]
  
  **Tags:** rna-seq, transcriptome, microarray, geo, meta-analysis
  
  > **Comments:**
  > **username_1**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  
  > **username_2**: Briefly, yes. If they have a common standard between then, ensuring standardisation is performed between datasets. Otherwise, internally standardising the data sets using e.g. z-score.  
  
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  ## 0 answers
  
  