FourCseq: mixed amount of replication/samples
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@theodoregeorgomanolis-7993
Last seen 14 months ago
Germany
This is a simple question but let's say that I got the following samples

Condition1_rep1
Condition1_rep2
Condition1_rep3

Condition2_rep1
Condition2_rep2

Condition3_rep1
Condition3_rep2
Condition3_rep3
Condition3_rep4

Your code on the DataFrame function for creating a data frame (colData) needs (if I am not mistaken) data in same amounts of replicates (has that "each" condition). Can I create the coldata by colData<-read.table("file.csv"), where file.csv a table with mixed amount of replicates for a given partition, as seen in the DSeq2 example?

Best Theodoros

fourcseq • 492 views
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felix.klein ▴ 150
@felixklein-6900
Last seen 3.1 years ago
Germany

Hello Theodore,

you can create the colDate in the way your experiment has been caried out. And if you have the required information in a csv file then you should use it as import. For simplicity I made use of the each function, but I could have used c(1,2, 1,2,3, ...) instead.

Cheers,

Felix

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@theodoregeorgomanolis-7993
Last seen 14 months ago
Germany

Great, thank you