Bioconductor Fold Change

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R deseq2 edger differential gene expression fold change

updated 3.5 years ago by ATpoint ★ 5.0k • written 7.3 years ago by Beginner ▴ 60

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diffBind Fold Change

updated 4.5 years ago by Joe Nicholas • 0 • written 6.8 years ago by joseluis.ruiz • 0

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1.9k

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edger differential expression genes fold change

updated 6.3 years ago by Aaron Lun ★ 29k • written 6.3 years ago by ilovesuperheroes1993 • 0

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1.4k

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mfuzz fold change log2 STANDARDISATION

7.3 years ago prakashpandey1111 • 0

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ballgown stattest fold change

updated 7.6 years ago by James W. MacDonald 68k • written 7.6 years ago by Arindam ▴ 80

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logfc limma fold change

updated 9.2 years ago by Gordon Smyth 53k • written 9.2 years ago by Claudia ▴ 10

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edgeR DE analysis fold change cpm

updated 9.2 years ago by Ryan C. Thompson ★ 7.9k • written 9.2 years ago by Sara ▴ 20

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Answer: Issue with Soft-Thresholding in WGCNA by misty.chickadee.vckc • 0

Hi Maria, your detailed explanation is super helpful! The NA power estimate in WGCNA can be tricky. I've sometimes seen that when the data …

Comment: Interpretation of output of AffyRNAdeg and hist commands by debasainalsa • 0

When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …

Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 20

thank you so much for answering Dr. Love!

Answer: DESeq2 for candidate gene analysis by Michael Love 43k

Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…

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A: Multi-level experiments in Limma

Answer: Should voomWithQualityWeights still be used when the sample-specific weights var

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Answer: DESeq2 for candidate gene analysis

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