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updated 2 days ago by
Carlo Yague
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written 2 days ago by
Atul K.
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updated 3 days ago by
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updated 3 days ago by
Ram
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written 4 days ago by
carlopecoraro2
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updated 3 days ago by
Ram
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written 4 days ago by
Matteo Ungaro
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3 days ago by
analyst
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updated 4 days ago by
Gordon Smyth
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updated 3 days ago by
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updated 5 days ago by
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5 days ago by
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5 days ago by
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Tool:
CANEapp, a user-friendly application for automated next generation transcriptomic data analysis
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dvelmeshev
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updated 5 days ago by
ATpoint
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written 7.1 years ago by
boymin2020
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Tutorial:
Installing/switching between versions of R/Rstudio/Bioconductor on personal machine (Linux | Ubuntu)
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written 5 days ago by
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5 days ago by
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updated 5 days ago by
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written 5 days ago by
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updated 5 days ago by
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written 15 months ago by
Dr.Animo
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updated 6 days ago by
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written 6 days ago by
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5 days ago by
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updated 6 days ago by
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written 6 days ago by
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Recent Replies
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duplicate of your previous question: https://www.biostars.org/p/9592646/
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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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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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