<p>I am completely new to meta-analysis and am a bit lost on how to proceed.</p>
<p>I have two biomarker datasets; each one is using a different microarray platform. I have the protein names, the concentration in each subject (one dataset has 15 subjects while another has 22) as well as fold change, p-value, and AUC values.</p>
<p>Is there a simple way to do a meta-analysis with this information? For example, is there any way to join the datasets and calculate a combined fold change and AUC? I was thinking of using sumlog() from the metap package in R to do a combined p-value, but I am lost on how to combine the other two values, or if this would even be appropriate. I've attached a screenshot of one of the datasets</p>
<p><a href="https://i.sstatic.net/3JfSP.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/3JfSP.png" alt="dataset preview" /></a></p>
<p>Any help or guidance would be greatly appreciated!</p>

CC BY-SA 4.0
2020-11-03T12:19:19.960Z
You seem new to analyze microarrays. Look at the wonderful limma vignette about how to analyze one dataset. Then I suggest you to analyze both  datasets and see how much do they agree. However what you need to do depends on what you want to do (besides a meta-analysis). What is your biological question (or reason of this analysis)?
llrs
CC BY-SA 4.0
2020-11-05T14:46:22.530Z
Thats a lot of questions rolled into one. First consider data mining to get an overview
M__
<r><microarray><meta-analysis>
Meta-analysis in R
# Meta-analysis in R

(Asked by: username_0 on 2020-10-31)

I am completely new to meta-analysis and am a bit lost on how to proceed.

I have two biomarker datasets; each one is using a different microarray platform. I have the protein names, the concentration in each subject (one dataset has 15 subjects while another has 22) as well as fold change, p-value, and AUC values.

Is there a simple way to do a meta-analysis with this information? For example, is there any way to join the datasets and calculate a combined fold change and AUC? I was thinking of using sumlog() from the metap package in R to do a combined p-value, but I am lost on how to combine the other two values, or if this would even be appropriate. I've attached a screenshot of one of the datasets

[![dataset preview](https://i.sstatic.net/3JfSP.png)](https://i.sstatic.net/3JfSP.png)

Any help or guidance would be greatly appreciated!

**Tags:** r, microarray, meta-analysis
> **Comments:**
> **username_1**: You seem new to analyze microarrays. Look at the wonderful limma vignette about how to analyze one dataset. Then I suggest you to analyze both  datasets and see how much do they agree. However what you need to do depends on what you want to do (besides a meta-analysis). What is your biological question (or reason of this analysis)?  
> **username_2**: Thats a lot of questions rolled into one. First consider data mining to get an overview  

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## 0 answers

