Bioconductor Processamplicons

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edger processamplicons sgrna crispr

updated 21 months ago by hyejo • 0 • written 6.7 years ago by Assa Yeroslaviz ★ 1.5k

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976

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edgeR processamplicons memory problem

6.4 years ago sdalin • 0

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processamplicons edgeR

updated 6.5 years ago by shepherl 4.1k • written 6.5 years ago by sdalin • 0

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EdgeR CRISPR Barcode processamplicons

updated 6.5 years ago by sdalin • 0 • written 7.7 years ago by neggersjasper • 0

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924

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edger sgrna processamplicons

6.7 years ago Assa Yeroslaviz ★ 1.5k

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1.3k

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processamplicons

updated 8.5 years ago by Matthew Ritchie ▴ 1000 • written 8.5 years ago by lucia.caceres • 0

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processamplicons

8.6 years ago lucia.caceres • 0

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processamplicons edger barcode

8.6 years ago lucia.caceres • 0

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edgeR processamplicons shrna

updated 9.0 years ago by thomas.leete • 0 • written 9.1 years ago by Anne Deslattes Mays ▴ 10

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edger processamplicons rstudio

updated 9.5 years ago by Aaron Lun ★ 28k • written 9.5 years ago by thomas.leete • 0

10 results • Page 1 of 1

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Answer: Deseq2 res Function by Michael Love 43k

> Does this mean the young and KO groups were numerators and denominators in the analysis, respectively? Read over the vignette and work…

Answer: ANOVA like approach of edgeR by Gordon Smyth 51k

You need to clarify whether interactions are present for the two factors in your study. In the two factors do not interact, then the code y…

Answer: Create Illmina bead summary data by Gordon Smyth 51k

GenomeStudio produces IDAT files that you can read using the `read.idat` function in limma. That is the recommended way to read GenomeStudi…

Comment: Help with RSEM counts: do I transpose matrix? by NB • 0

OK thank you.

Comment: Help with RSEM counts: do I transpose matrix? by James W. MacDonald 67k

You can ask here, but please read the `DESeq2` vignette first, which should answer most questions.

Votes

Comment: Is it recommended to analyze different tissues together when using edgeR

Answer: Deseq2 res Function

Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification

Answer: ANOVA like approach of edgeR

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