Bioconductor Significance

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deseq2 betaPrior shrinkage significance

7.5 years ago brynedal ▴ 40

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2.4k

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dna methylation illimina 450k methylation beta M significance

updated 8.1 years ago by James W. MacDonald 68k • written 8.1 years ago by skids121 • 0

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limma edger significance rnaseq

updated 8.6 years ago by Gordon Smyth 53k • written 8.7 years ago by roberto.spreafico ▴ 20

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salmon transcripts significance counts

9.3 years ago Assa Yeroslaviz ★ 1.5k

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3.2k

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deseq2 wald lrt genes significance

updated 9.4 years ago by Michael Love 43k • written 9.4 years ago by aziza ▴ 20

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1.1k

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cellcode significance

9.5 years ago christopher.clarskon15 ▴ 20

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Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 10

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…

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

That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…

Comment: Join BOC Sciences at Drug Discovery Chemistry by teamardigen • 0

Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …

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Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

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Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

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