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12

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10

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16k

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error lazy R biomaRt table

updated 19 months ago by juo5 • 0 • written 24 months ago by Abhishek ▴ 20

1

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2

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2.0k

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cn.mops log normalized counts table

updated 8.3 years ago by Günter Klambauer ▴ 540 • written 8.3 years ago by falk.zakrzewski • 0

0

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1

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1.8k

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rle normalization table

updated 10.0 years ago by Steve Lianoglou ★ 13k • written 10.0 years ago by aiko • 0

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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…

Votes

A: Multi-level experiments in Limma

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Answer: DESeq2 for candidate gene analysis

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