Bioconductor Gviz

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DMRcate Gviz

updated 17 days ago by Tim Peters ▴ 180 • written 14 months ago by jose.ramirez1 ▴ 10

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207

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Gviz

updated 3 months ago by James W. MacDonald 65k • written 3 months ago by ilaria.maurizio • 0

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DMR Methylation R Gviz

updated 5 months ago by Robert Ivanek ▴ 730 • written 3.0 years ago by ltzhou • 0

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353

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Gviz

6 months ago dbsgtk • 0

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443

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rtracklayer UCSC Gviz

6 months ago yujin ▴ 10

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604

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rtracklayer Gviz

updated 6 months ago by Hervé Pagès 16k • written 6 months ago by yujin ▴ 10

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1.7k

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Gviz coMET

17 months ago • updated 7 months ago Daniel E. Weeks ▴ 30

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gviz Saccharomyces_cerevisiae Gviz ideogram

updated 7 months ago by Robert Ivanek ▴ 730 • written 7 months ago by Michael • 0

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547

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Gviz

updated 12 months ago by Robert Ivanek ▴ 730 • written 12 months ago by xiaofeiwang18266 ▴ 50

9 results • Page 1 of 1

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Comment: deseq2 results by swbarnes2 ★ 1.3k

It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…

Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0

Thank you very much, Gordon. I'll give voomLmFit a go!

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Gordon Smyth 50k

Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…

Comment: Log-cpm values from limma by Gordon Smyth 50k

No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …

Comment: Extremely small p-values using Limma for proteomic data by Abbey • 0

This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look! ``` # Load necessary …

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Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

Answer: Extremely small p-values using Limma for proteomic data

Bioconductor 3.19 is Released!

A: Volcanoplot with limma - RAW P-values or Adj.P-Values

Answer: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it

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