Showing : Lipidomics • reset
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DESeq use in lipidomic analysis
DESeq2 package Lipidomics
updated 7 weeks ago by 43k • written 7 weeks ago by • 0
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Lipidomics Barplot: raw values or non-log, lipidr-normalized values?
Normalization Lipidomics lipidr
5 months ago David R ▴ 90
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Normalization of metabolomics/lipidomics data for limma
Lipidomics Metabolomics limma Normalization
3.8 years ago pgugger ▴ 70
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when to use filter_by_cv() function from the lipidr package
Lipidomics lipidr lipi
4.4 years ago eme • 0
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Job: Metabolomics Bioinformatics Postdoc Position at Steno Diabetes Center Copenhagen
metabolomics lipidomics clinical research data integration biostatistics Job
5.2 years ago Tommi Suvitaival ▴ 10
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Shotgun lipidomics analysis
shotgun lipidomics lipidomics mass spectrometry
9.3 years ago Titan • 0
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XCMS2 on MSMS data
xcms metabolomics massspectrometry lipidomics bioconductor
9.3 years ago Titan • 0
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Problem with XCMS
xcms metabolomics lipidomics proteomics massspectrometry
9.3 years ago Titan • 0
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XCMS for targeted metabolomic/lipidomics/proteomics
xcms metabolomics lipidomics statistics
9.3 years ago Titan • 0
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Bioinformatics position available in lipidomics biomarker research
Lipidomics Lipidomics
15.5 years ago Michael Eiden ▴ 10
10 results • Page 1 of 1
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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 …
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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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