Biostar PCAtools

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245

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PCAtools edgeR pcaExplorer RNASeq RNAseq123

4 weeks ago Alan • 0

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838

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ellipse RNAseq PCAtools

written 11 months ago by elizabethe819 • 0

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527

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PCAtools

updated 15 months ago by Kevin Blighe 3.5k • written 15 months ago by Terra • 0

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1.1k

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biplot PCA RNASeq PCAtools

updated 17 months ago by Kevin Blighe 3.5k • written 17 months ago by mschmidt ▴ 10

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282

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PCAtools

14 months ago • updated 13 months ago luca.s ▴ 10

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623

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EDA pcaExplorer PCAtools PCA

updated 5 months ago by Miguel ▴ 10 • written 21 months ago by k.vitting.seerup ▴ 100

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511

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PCATools

updated 19 months ago by Kevin Blighe 3.5k • written 19 months ago by oakhamwolf • 0

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509

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PCAtools biplot DESeq2 RNASeq PCA

updated 18 months ago by Kevin Blighe 3.5k • written 18 months ago by ecg1g15 • 0

8 results • Page 1 of 1

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Comment: How to best visualize multi-level transcriptomics experiment data? by Ali Barry ▴ 10

Would `rowVars` work for your data structure?

Comment: How to best visualize multi-level transcriptomics experiment data? by mohammedtoufiq91 ▴ 10

@aliibarry Thank you for the information and inputs. I will work on the design further. Yes, `facet_wrap ` is a good suggestion. I will t…

Answer: How to best visualize multi-level transcriptomics experiment data? by Ali Barry ▴ 10

Hi Toufiq, a big part of this will be determining which factors actually contribute variance and are needed in your design. How does your d…

Comment: Print EnhancedVolcano Plot as jpeg or similar in R Notebook by Kevin Blighe 3.5k

Hi, I am the main developer of *EnhancedVolcano*. This question seems unrelated to any technical issue pertaining to the package. Irrespect…

Comment: Quantile Normalization after rma or not? by Yang Shi • 0

Thanks you so much sir! But I'm still confused with the boxplot showing here. Why oligo::rma could not get the plot like limma::normalizeBe…

Votes

Answer: How to best visualize multi-level transcriptomics experiment data?

A: redundant probe sets in Affymetrix HG-U219

Answer: Quantile Normalization after rma or not?

Answer: Using featureCounts and downloading Rsubread

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Scholar to James W. MacDonald 59k