Question: How to statistically compare multiple cell lines
gravatar for elb
2.8 years ago by
elb200 wrote:

I have a statistical question. I have 10 patients and 5 cellular lines. For each patient the gene expression of 6 genes was measured. Imagine the y-axis represents the expression of that genes in terms of delta-deltaCT (the qPCR technology: and the x-axis the cellular type. On the plot, the dots represent the patients on which the expression of the set of marker genes was measured relatively to the cellular type (x-axis). Now, what I would like to do is to perform a statistical test in order to compare the distribution of the expression of the genes in patients across different cell types. Which type of statistical test is adeguate to this situation?

In the picture a situation that is similar to my case.

Thanks in advance

enter image description here

qpcr R • 851 views
ADD COMMENTlink modified 2.8 years ago by Devon Ryan98k • written 2.8 years ago by elb200

It's a bit ambiguous what you intend by "across different cell types" in this regard. I could interpret, for example, to mean that you want to look for cell type differences (while adjusting for patient as a covariate) or that you want to find patients that differ in their cell type qPCR data from others. Either way you can probably use a linear model.

ADD REPLYlink written 2.8 years ago by Devon Ryan98k

Sorry for that. I just would like to show that for that genes the patients show a common or not behaviour across the cellular types.

ADD REPLYlink written 2.8 years ago by elb200

Do you think doing an analysis of variance ? or a multivariate analysis ?

ADD REPLYlink modified 2.8 years ago • written 2.8 years ago by anicet.ebou160

I mean an analysis of variance.

ADD REPLYlink written 2.8 years ago by elb200
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