Bioconductor RforProteomics

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ProteomicsWorkflow PSMatch Spectra RforProteomics

updated 12 months ago by Laurent Gatto 1.6k • written 13 months ago by Jane_Huang • 0

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399

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rpx PXDataset RforProteomics

13 months ago Jane_Huang • 0

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1.3k

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Proteomics RforProteomics ProteomicsWorkflow Spectra MassSpectrometryData

updated 2.2 years ago by Laurent Gatto 1.6k • written 2.2 years ago by mmvar • 0

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RforProteomics Proteomics ProteomicsWorkflow

updated 2.2 years ago by Laurent Gatto 1.6k • written 2.2 years ago by mmvar • 0

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error RforProteomics Install

updated 4.9 years ago by Mike Smith ★ 6.6k • written 4.9 years ago by Phoebe • 0

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RforProteomics

5.0 years ago yueli7 ▴ 20

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rforproteomics proteomics msnid msnbase

5.6 years ago daniel.magnus.bader ▴ 50

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1.6k

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RforProteomics

updated 5.9 years ago by James W. MacDonald 68k • written 5.9 years ago by jb3082 • 0

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msnbase rforproteomics

6.7 years ago fgol ▴ 10

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RforProteomics MSnbase

updated 6.8 years ago by Laurent Gatto 1.6k • written 6.8 years ago by fgol ▴ 10

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prostar proteomics rforproteomics annotationforge

updated 7.4 years ago by Samuel Wieczorek ▴ 10 • written 7.4 years ago by lolli.langan ▴ 20

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DEP missing value imputation proteomics rforproteomics

7.9 years ago • updated 7.7 years ago alex.gos90 ▴ 10

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msnbase duplicate rforproteomics

updated 7.7 years ago by Laurent Gatto 1.6k • written 7.7 years ago by joris.vanhoutven ▴ 10

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Bioc package installation rforproteomics

updated 9.6 years ago by Laurent Gatto 1.6k • written 9.6 years ago by sarahgrogan • 0

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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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DESeq2 for candidate gene analysis

Join BOC Sciences at Drug Discovery Chemistry

Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

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

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