Bioconductor Catalyst

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visua Visualization CATALYST

22 months ago elefth.pavlos ▴ 40

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CATALYST

updated 2.2 years ago by SamGG ▴ 360 • written 3.2 years ago by David • 0

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CATALYST

updated 2.4 years ago by Hervé Pagès 16k • written 2.4 years ago by Hyoann ▴ 20

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CATALYST

2.6 years ago Shaun • 0

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CATALYST

3.3 years ago David • 0

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CATALYST SingleCellExperiment

updated 4.8 years ago by helucro ▴ 70 • written 4.8 years ago by achaillon • 0

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CATALYST cytofWorkflow

updated 5.9 years ago by Martin Morgan 25k • written 5.9 years ago by Brent.OCarrigan • 0

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CATALYST flowCore assignPrelim Error in vapply read.FCS

6.7 years ago j.krop • 0

8 results • Page 1 of 1

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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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