Bioconductor WateRmelon

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710

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DNAMethylation wateRmelon Computation minfi

2.3 years ago calen.p.ryan • 0

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1.2k

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wateRmelon Illumina EPIC pfilter

updated 5.0 years ago by lschal • 0 • written 5.0 years ago by anne-kristin.stavrum • 0

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1.8k

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wateRmelon minfi methylation pfilter preprocessNoob

updated 5.2 years ago by tgorri ▴ 10 • written 5.2 years ago by sara.blocquiaux • 0

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1.3k

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methylation ENmix BMIQ wateRmelon

5.8 years ago • updated 5.7 years ago moldach ▴ 20

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1.7k

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minfi methylumi watermelon

7.8 years ago Tom ▴ 10

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2.5k

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wateRmelon methylation EPIC normalization

7.9 years ago Wade Davis ▴ 60

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1.6k

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limma watermelon methylumi bmiq

updated 7.9 years ago by tgorri ▴ 10 • written 7.9 years ago by poojitha.stemcell ▴ 10

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2.0k

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minfi watermelon cancer 450k normalization

updated 9.4 years ago by Kasper Daniel Hansen ★ 6.5k • written 9.4 years ago by metamaden ▴ 10

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2.3k

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watermelon betaqn pfilter getProbeInfo minfi

9.8 years ago gctromp ▴ 10

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2.5k

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convert lumi methylumi minfi wateRmelon convert lumi methylumi minfi wateRmelon

updated 11.1 years ago by Tim Triche ★ 4.2k • written 11.1 years ago by Martin Rijlaarsdam ▴ 190

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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.

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Answer: Deseq2 res Function

Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification

Answer: ANOVA like approach of edgeR

Comment: ANOVA like approach of edgeR

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