Bioconductor Foldchange

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StatisticalMethod FoldChange edgeR RNASeq

22 months ago Sabiha ▴ 20

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FoldChange DiffBind lfcShrink

updated 2.2 years ago by Rory Stark ★ 5.2k • written 2.3 years ago by bhandary.8590 ▴ 20

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1.6k

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FoldChange DiffBind lfcShrink Cut&TagData

2.3 years ago bhandary.8590 ▴ 20

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2.3k

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DESeq2 TPM Foldchange

updated 3.6 years ago by Michael Love 43k • written 3.6 years ago by dadca596 • 0

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1.3k

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edgeR RNA-Seq log2 foldchange q_value

updated 3.8 years ago by Gordon Smyth 53k • written 3.8 years ago by johndavidgriner74 • 0

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1.7k

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sign FoldChange DESeq2 reference

updated 3.8 years ago by Michael Love 43k • written 3.8 years ago by yampolsk • 0

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7.6k

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DifferentialExpression DEA FC FoldChange edgeR

4.1 years ago zhxiaokang ▴ 20

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3.3k

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EdgeR RNAseq Foldchange

updated 4.3 years ago by swbarnes2 ★ 1.4k • written 4.3 years ago by najib • 0

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4.6k

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foldchange topGO DifferentialExpression enrichment

updated 4.9 years ago by Gordon Smyth 53k • written 4.9 years ago by lessismore ▴ 20

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2.0k

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limma microarray foldchange DEG GEO

updated 5.7 years ago by Gordon Smyth 53k • written 5.7 years ago by Pietro ▴ 40

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1.8k

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DEXSeq DTU salmon rnaseqDTU foldchange

updated 6.5 years ago by Michael Love 43k • written 6.8 years ago by fiona.dick91 ▴ 60

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1.8k

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limma RNAseq foldchange

6.7 years ago • updated 6.6 years ago susana.amaral.teixeira ▴ 20

12 results • Page 1 of 1

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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 …

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0

I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…

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

Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…

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Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?

Answer: DESeq2 design for haplotype MPRA

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