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Hi GenoMax and Mensur Dlakic, thank you for your feedback. I'm changing approach in the way to work with a smaller number of seq.
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duplicate of your previous question: https://www.biostars.org/p/9592646/
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I think both these programs are just adding the same tag to every line. I don't think either cares whether it's called RG or CB
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Even if this was real data, the tiny numbers for the PC1 and PC2 indicate that the differences between the samples are all absolutely tiny.…
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You could also try kernel PCA, which is a non-linear form of PCA, although this will be more time-consuming.
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I have unstranded RNA-seq data. Please share the tool with me, if you do not mind.
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Everything that @f1f58aed said, plus that there may be no data manipulation that will give you the clusters you expected. Sometimes there a…
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It is a good idea, though I don't see how it would work in practice.
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Please post information about your tool as a `tools` category post. Don't wait/ask other users to ask you.
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Sorry for the delay in my answer, I got sidetracked.
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We just developed a R package to tackle this problem.
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