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Answer: plotting PCA PLINK eigenvec output in R
A: PCA in a RNA seq analysis
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Answer: Figures are disappeared from html report of SnpEff
Comment: removeBatchEffect explained using base R linear models
removeBatchEffect explained using base R linear models
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Please --- https://www.biostars.org/p/357878/ https://www.biostars.org/p/75548/ [Ten Simple Rules for Getting Help from Online Scientifi…
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If rRNA genes have been mistakenly assigned to these genes, could it be expected that the percentage of ribosomal genes(rpl,rps) would be …
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(+1) *"implementing" the method just using base R linear models.*: I find implementing from basic starting point to be one of the best, if …
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Mapping rate for bisulfite data is typically worse because of reduced complexity of the sequences. The efficiency will depend on your read …
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In your paper, you mentioned that a normalization value of 0 for Malat1 is also indicative of a low-quality cell. But what if the dropout e…
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Thank you. But can we say that this is biologically informative ? If this gene had been detected in excess specifically within a single c…
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$20,000 for the first Prize?XD
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Why does your question sound like an assignment (if it's not, reformulate it, note you are in no position to give the volunteers here assig…
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So this is your exam question or assignment? Please understand that posting this here is not doing anyone any good. You are supposed to lea…
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When everything is the same size, correcting for size is pointless. It doesn't change the numbers much at all.
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