Identify Differentially Expressed Genes With Two Groups In Which There Are Only Two Replicates
1
1
Entering edit mode
11.4 years ago
liux.bio ▴ 360

Hello everyone,

I want to Identify differentially expressed genes with two groups in which there are only two replicates.

What methods should I use? I want to use t-statistics or Mann- Whitney test, but I am not sure the minimum replicates of the t-statistics or Mann- Whitney test.

Thank you

microarray differential-expression • 5.0k views
ADD COMMENT
3
Entering edit mode

Can you clarify your question? You say you have two replicates, which suggests that you have four samples (2 groups x 2 replicates = 4). Or do you have two groups with 0 replicates -- ie. you have 2 samples.

Also, your tag says "microarray" but it is not mentioned in your question what platform you have used for expression measurement. Can you please further modify your question to specify if that this is microarray (vs. rna-seq, for example)?

ADD REPLY
0
Entering edit mode

Ok.I have four samples(2 groups x 2 replicates).The platform I used is Affymetrix GeneChip Mouse Genome 430A 2.0. Could I use Mann- Whitney test?

ADD REPLY
2
Entering edit mode

well minimum sample size for t-test is 2 (for which the degree of freedom = 1), but the statistics won't be very reliable.

ADD REPLY
0
Entering edit mode

Thank you! What about Mann- Whitney test?

ADD REPLY
0
Entering edit mode

it can be performed too. but in general smaller the sample size, less reliable will be the result. .

ADD REPLY
1
Entering edit mode

What kind of replicates? Biological replicates? Technical replicates?

If you only have technical replicates, then it does not make sense to use a statistical test. What you will pick up will be technical differences, and not biological differences. Even if they are biological replicates, I would be very skeptical of ANY results produced with only 2 replicates. It may work well for a pilot study to asses whethere there was enough RNA in a given sample or likewise, but the biological conclusions you can draw from such a dataset if very limited.

ADD REPLY
0
Entering edit mode

Many thanks for your advice.

ADD REPLY
1
Entering edit mode
11.4 years ago

Unless you have a very good reason not to do so, your first preference for any microarray analysis should always be limma.

There is an extensive user's guide which is very much worth reading, as well, before you start your analysis.

ADD COMMENT
0
Entering edit mode

Thank you.I have read it.

ADD REPLY

Login before adding your answer.

Traffic: 1757 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