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multiomics
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Job:
Job as a bioinformatician in Hamburg, Germany
DimensionReduction
SingleCellData
multiomics
MachineLearning
2.4 years ago
Diego's
• 0
1
vote
0
replies
1.1k
views
Job:
Research Fellow in Prostate Cancer Proteomics (Bioinformatics/Stats/Data Analysis) - University of St Andrews
Multiomics
Proteomics
Cancer
Statistics
Bioinformatics
2.7 years ago
Andy Lynch
▴ 120
0
votes
0
replies
1.1k
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Job:
Bioinformatics scientist (Full-time/Permanent) for the analysis of multiomics data in oncology
clinical
R
bioinformatics
multiomics
oncology
3.0 years ago
vincent.piras
• 0
0
votes
0
replies
1.5k
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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
4.3 years ago • updated 4.2 years ago
lhd
• 0
0
votes
0
replies
1.1k
views
Job:
Postdoc/Bioinformatician: Helsinki - Obesity Research Unit, University of Helsinki
multiomics
single-cell RNA
Job
5.5 years ago
mahes.muniandy
• 0
5
votes
4
replies
2.3k
views
Perform correlation analysis between miRNA and mRNA gene expression data on the same TCGA dataset based on the curatedTCGAData
curatedTCGAData
MultiAssayExperiment
multiomics
TCGA
updated 6.1 years ago by
Levi Waldron
★ 1.1k • written 6.1 years ago by
svlachavas
▴ 840
3
votes
1
reply
1.4k
views
Horizontal integration of multi omic data, with continuous dependent variable
multiassayexperiment
multiomics
updated 6.8 years ago by
Levi Waldron
★ 1.1k • written 6.8 years ago by
dberel
▴ 20
8
votes
5
replies
2.4k
views
Querying specific TCGA datasets through the MultiAssayExperiment R package
MultiAssayExperiment
curatedCRCdata
multiomics
TCGA
updated 6.8 years ago by
Marcel Ramos
700 • written 6.8 years ago by
svlachavas
▴ 840
8 results • Page
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Comment: Controlling for batch and estrus cycle using DESeq2 in RNA-seq analysis
by
donnycrimson
• 0
One potential workaround might be to adjust for these factors using a combination of design matrices perhaps including batch as a covariate…
Comment: DESeq2 Design controlling for gender
by
donnycrimson
• 0
On a lighter note, while you are tackling such complex data, you might enjoy a quick break playing the [Slope Game](https://slopegame.lol)…
Comment: MetaDE.pvalue: Error in xj[i]: invalid subscript type 'list'
by
donnycrimson
• 0
Have you considered streamlining how you handle data input to mitigate these issues. It might help to define the parameters more strictly …
Comment: CluserProfiler message "No gene can be mapped"
by
Carolina
• 0
There is, the overlap that reads out is ( Genes in common: 368 of 368 ). Here is the link for [background genes][1], [term2gene][2], [term2…
Comment: Differing results with DESeq2
by
JKim
• 0
My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …
Votes
remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
A: Understanding contrasts limma
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