Created
September 24, 2025 18:45
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DESeq2 on second set of rows using fixed priors
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| library(DESeq2) | |
| dds <- makeExampleDESeqDataSet() | |
| dds_leaf <- dds[1:500,] | |
| dds_inner <- dds[501:1000,] | |
| dds_leaf <- DESeq(dds_leaf) | |
| res_leaf <- lfcShrink(dds_leaf, coef="condition_B_vs_A", type="apeglm") | |
| # this runs DESeq2 on inner nodes but using priors from leaves | |
| sizeFactors(dds_inner) <- sizeFactors(dds_leaf) | |
| dds_inner <- estimateDispersionsGeneEst(dds_inner) | |
| dispersionFunction(dds_inner) <- dispersionFunction(dds_leaf) # skipping prior estimation | |
| dds_inner <- estimateDispersionsMAP(dds_inner) | |
| dds_inner <- nbinomWaldTest(dds_inner) | |
| # this runs lfcShrink on inner nodes but using priors from leaves | |
| pc <- attr(res_leaf, "priorInfo")$prior.control | |
| res_inner <- lfcShrink(dds_inner, coef="condition_B_vs_A", | |
| type="apeglm", apeAdapt=FALSE, prior.control=pc) |
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