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I have some RNA-seq data for statistic analysis. I do not have biological replicate for the data, so could anyone can give me some suggestion how to compare the significant expressed genes between two samples using Fisher's exact test in R? Thank you very much.
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Fisher's test tests for independency between rows and columns in a table so I don't think you can use it. In fact, with only two samples there is not much that can be done (there has been a lot of discussion on SEQanswers about detecting DE genes from RNAseq in the absence of replication). You can look at the DESeq and edgeR packages from Bioconductor, which can estimate dispersion in absence of replication, but again, the results shouldn't be taken as conclusive.Originally posted by beefeng123 View Post
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Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.07-01-2026, 11:43 AM
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