paired analysis using metagenomeSeq
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manasishah86 ▴ 30
@manasishah86-11034
Last seen 8.2 years ago

Can we use the fitFeatureModel function in metagenomeSeq to determine log fold changes adjusting for paired samples i.e for example tumor and  tumor adjacent biopsy microbiome samples? i.e in the tutorial can we add a pair factor that denotes samples from the same host as P1, P2 and so on in the model matrix?

  mod <- model.matrix(˜1 + PairFactor+ SmokingStatus , data = pd)

lungres1 = fitFeatureModel(lungData, mod)

Thanks for your time,

Best,

Manasi

metagenomeseq logfc paired samples standard error • 2.8k views
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@joseph-nathaniel-paulson-6442
Last seen 7.7 years ago
United States
Not right now, but yes - very soon. On 2016-09-19 19:13, manasishah86 [bioc] wrote: > Activity on a post you are following on support.bioconductor.org [1] > > User manasishah86 [2] wrote Question: paired analysis using metagenomeSeq [3]: > > Can we use the fitFeatureModel function in metagenomeSeq to determine log fold changes adjusting for paired samples i.e for example tumor and tumor adjacent biopsy microbiome samples? i.e in the tutorial can we add a pair factor that denotes samples from the same host as P1, P2 and so on in the model matrix? > > mod <- model.matrix(˜1 + PairFactor+ SmokingStatus , data = pd) > > lungres1 = fitFeatureModel(lungData, mod) > > Thanks for your time, > > Best, > > Manasi > ------------------------- > > Post tags: metagenomeseq, logfc, paired samples, standard error > > You may reply via email or visit paired analysis using metagenomeSeq Links: ------ [1] https://support.bioconductor.org [2] manasishah86 [3] paired analysis using metagenomeSeq
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Thanks Joe, what alternative would you suggest for in the meanwhile? An option that outputs standard error. The topTable function in limma+voom though extremely fast, do not provide standard errors

-Manasi

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In the meantime, I'd recommend using fitZig.

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@atekurrahman48-11511
Last seen 8.2 years ago

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@mariamake0011-11514
Last seen 8.2 years ago

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