Bioconductor HTSeq

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1.2k

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DEXSeq HTSeq R

2.2 years ago • updated 2.1 years ago yr542 • 0

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1.7k

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DESeq2 microRNA HTSeq

2.8 years ago abhay.kanodia • 0

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1.3k

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DESeq2 RNA-seq HTseq DESeqDataSetFromHTSeqCount

updated 2.9 years ago by Michael Love 43k • written 2.9 years ago by abhay.kanodia • 0

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1.2k

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DESeq2 htseq DEGseq RNASeq read

updated 3.0 years ago by Michael Love 43k • written 3.0 years ago by CP • 0

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1.6k

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software error HTSeq installation

updated 5.7 years ago by Martin Morgan 25k • written 5.7 years ago by eric33150 • 0

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5.2k

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voom htseq edgeR limma RNASeq123

updated 6.8 years ago by Gordon Smyth 53k • written 8.4 years ago by wd ▴ 30

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1.9k

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DEXSeq dexseq_count htseq

8.7 years ago mat.lesche ▴ 110

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2.4k

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HTSeq HTSeqCounts Could not find function DEXSeq

updated 9.5 years ago by Martin Morgan 25k • written 9.5 years ago by sakura.nussbaum ▴ 10

8 results • Page 1 of 1

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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…

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…

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Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

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