Timeline for How do you compare unpaired biological replicates?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Aug 18, 2016 at 9:53 | comment | added | Nik Bernou | I got your point , you have one like already thanks for highlighting it !!!! would you mind to give me an example in R? | |
| Aug 18, 2016 at 9:50 | comment | added | FoldedChromatin | correlation shows you how well the samples/replicates correlate among themselves, before merging replicates this step is required to show that you are not introducing variations within the merged dataset. If you introduce a bias by merging that will lead to false statistical inference. You do not want to do that, if the replicates correlate well then values corresponding to genes can averaged between replicates. | |
| Aug 18, 2016 at 9:45 | comment | added | Nik Bernou | Having shown the correlation between replicates, you can then merge the replicates by taking the average of the replicates, what will happen to those that are not highly correlated ? why should I do that ? can you please give me details explanation so that I understand your mythology ? | |
| Aug 18, 2016 at 9:43 | comment | added | Nik Bernou | Hi dear, thanks for your comment. Actually you don't need to know IPA. what i want is to be able to calculate FoldChange. is it possible to make an example in R ? you can use random values to generate 6 columns of data ? is it possible ? | |
| Aug 18, 2016 at 9:39 | history | answered | FoldedChromatin | CC BY-SA 3.0 |