Bioconductor Bsmooth

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bsmooth without replicate dimension

7.3 years ago nilaycan • 0

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bsseq bsmooth

8.0 years ago ravi.tharakan • 0

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bsseq r package bsmooth dmrFinder

8.3 years ago parker • 0

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bsseq bsmooth

updated 8.6 years ago by Peter Hickey ▴ 760 • written 8.6 years ago by brandon.le • 0

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bsseq bsmooth

8.8 years ago zuupcat • 0

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bsseq Bsmooth

updated 24 months ago by Adam • 0 • written 10.6 years ago by unmeshj • 0

6 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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