Showing : Multiomics • reset
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Job: Job as a bioinformatician in Hamburg, Germany
DimensionReduction SingleCellData multiomics MachineLearning
2.9 years ago Diego's • 0
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Job: Research Fellow in Prostate Cancer Proteomics (Bioinformatics/Stats/Data Analysis) - University of St Andrews
Multiomics Proteomics Cancer Statistics Bioinformatics
3.2 years ago Andy Lynch ▴ 120
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Job: Bioinformatics scientist (Full-time/Permanent) for the analysis of multiomics data in oncology
clinical R bioinformatics multiomics oncology
3.5 years ago vincent.piras • 0
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Job: Post-doc position in multi-omics of Alzheimer's disease at Columbia University in New York City
JobPosting postdoc sequencing multiomics
4.7 years ago lhd • 0
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Job: Postdoc/Bioinformatician: Helsinki - Obesity Research Unit, University of Helsinki
multiomics single-cell RNA Job
6.0 years ago mahes.muniandy • 0
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Perform correlation analysis between miRNA and mRNA gene expression data on the same TCGA dataset based on the curatedTCGAData
curatedTCGAData MultiAssayExperiment multiomics TCGA
updated 6.5 years ago by ★ 1.1k • written 6.6 years ago by ▴ 840
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Horizontal integration of multi omic data, with continuous dependent variable
multiassayexperiment multiomics
updated 7.3 years ago by ★ 1.1k • written 7.3 years ago by ▴ 20
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Querying specific TCGA datasets through the MultiAssayExperiment R package
MultiAssayExperiment curatedCRCdata multiomics TCGA
updated 7.3 years ago by 700 • written 7.3 years ago by ▴ 840
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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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