Here is my real data
I have 3 control samples and 3 treated samples. the data is LFQ expression means it is continuous values. One should normalise it for example take log from the data and i should mention that two of them are biological replicate. I am looking to find a way to determine significance changes between these samples using R? Probably using t test or kolmogorov-smirnov or any other test which is valid
2 answers
Have you checked previous discussion on the topic?
It may help if you describe what this data is. Many are not going to be familiar with LQF (label free quantification) and what the numbers in this table represent. Perhaps you will get better ideas for analysis then.
You could also keep just a few example rows in your github source (rather than the full table) to make this post more readable for others.
I'm not familiar with LFQ expression data but it looks like counts so you can use the R package DESeq2.
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Can't you just do the experiment yourself?
You can just but the header of file