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RUVnormalize- How to output a corrected expression matrix without negative values to use for DEG analysis(i.e. limma) ?
RUVnormalize limma corrected expression matrix microarray
updated 6.8 years ago by ★ 1.5k • written 6.8 years ago by • 0
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Answer: [How to construct a model.matrix ] by Gordon Smyth 51k
> Initially, I simply used > `lm(Epigenetic_age ~ Age_group + Age + Sex + PC1 + PC2 + PC3 + PC4 + PC5 + B + CD4T + CD8T + Mono + NK + Neutr…
Comment: How to extract phastcons score for all protein coding genes and lncRNAs using Ge by rania.alanany • 0
Hi Robert, Thank you for the explanation, But I am still little bit confused, Is the annotation package (TxDb.Hsapiens.UCSC.hg38.knownGene)…
Comment: Merge Replicates vs Mixed Model by abadgerw • 0
@gabrielhoffman any insight?
Comment: makeContrastsDream for Interaction by abadgerw • 0
@gabrielhoffman any insight?
Comment: ColData and ERROR: rows did not converge in beta, labelled in mcols(object)$beta by Michael Love 42k
That is the rows that did converge.
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Answer: [How to construct a model.matrix ]
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