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Showing :
limma
•
reset
2
votes
4
replies
143
views
Should Xenium pseudobulk experiments be analysed like microarrays (limma) or like RNASeq (edgeR,Deseq2, or limma-voom)
Deseq2
edgeR
limma
xenium
Voom
1 day ago • updated 5 hours ago
richardallenfriedmanbrooklyn
▴ 30
2
votes
5
replies
1.7k
views
competitive enrichment test yields too few significant results, self-contained too many
limma
DESeq2
fry
edgeR
updated 13 hours ago by
sophiasteck007
• 0 • written 3 days ago by
bbao
▴ 10
0
votes
1
reply
1.1k
views
How to avoid losing a sample as reference running an individual differential expression analysis (LIMMA)
Microarray
limma
BRAIN
Microarray
limma
BRAIN
updated 3 days ago by
Gordon Smyth
52k • written 16.4 years ago by
Dmitriy Verkhoturov
▴ 10
0
votes
3
replies
2.0k
views
Applying lmFit(), eBayes() and topTable() for modeling associations between NMR-derived metabolic measures and various traits
limma
Bioconductor
Metabolomics
updated 9 days ago by
Gordon Smyth
52k • written 13 days ago by
anni
• 0
0
votes
4
replies
1.5k
views
How to use goana function with zebrafish genome from org.Dr.eg.db
org.Dr.eg.db
zebrafish
limma
28 days ago • updated 27 days ago
Eric
• 0
3
votes
2
replies
6.2k
views
limma duplicateCorrelation appropriate where some blocks cross condition and some are in same condition?
limma
6 weeks ago
Geoff
• 0
2
votes
3
replies
1.2k
views
Differential gene expression analysis on haplotype-resolved diploid assembly
edgeR
DESeq2
haplotype
limma
7 weeks ago
Paulito
• 0
0
votes
1
reply
330
views
Typo in the help of lmFit()
limma
updated 7 weeks ago by
Gordon Smyth
52k • written 7 weeks ago by
Balazs
• 0
0
votes
2
replies
548
views
Limma suqeezeVar
limma
8 weeks ago • updated 7 weeks ago
Mengchun
• 0
0
votes
2
replies
483
views
Limma trend with limpa
limpa
limma
trend
updated 6 weeks ago by
Gordon Smyth
52k • written 8 weeks ago by
Alejandro
• 0
2
votes
5
replies
1.1k
views
Dealing with heteroscedascity in limma
limma
splines
Proteomics
written 9 weeks ago by
Thomas
• 0
5
votes
7
replies
3.1k
views
limma correction for tumor purity
limma
9 weeks ago
gabriella.jacobson-eisenberg
▴ 20
0
votes
3
replies
806
views
Model performance for spline modelling of RNA-seq timecourses in edgeR
edgeR
limma
written 3 months ago by
skiaphrene
▴ 10
2
votes
6
replies
2.7k
views
Check removeBatchEffect effectiveness
RNAseq
limma
removeBatchEffect
11 weeks ago • updated 7 weeks ago
massimo
• 0
0
votes
0
replies
337
views
Significant Probes and Genes differ in Probe and Region level Differential Methylation Analyses
limma
probe
DMRcate
GenomicRanges
DifferentialMethylation
11 weeks ago
jamiecatalano2
• 0
2
votes
1
reply
589
views
ROAST for small sets
limma
mroast
updated 11 weeks ago by
Gordon Smyth
52k • written 11 weeks ago by
Jay
• 0
2
votes
4
replies
1.7k
views
how to use `arrayWeightsQuick()`?
limma
updated 9 weeks ago by
TraceMorrow
• 0 • written 3 months ago by
matthew
• 0
2
votes
2
replies
1.3k
views
Improving performance of edgeR and limma while adjusting for multiple confounders
edgeR
limma
updated 3 months ago by
ATpoint
★ 4.9k • written 3 months ago by
robinpaul85
• 0
2
votes
3
replies
807
views
Explanation for ROAST results
CAMERA
limma
updated 3 months ago by
Gordon Smyth
52k • written 3 months ago by
Jay
• 0
5
votes
3
replies
988
views
Using edgeR::voomLmFit for the analysis of paired clinical RNA-seq samples with multiple cell types
edgeR
limma
voomLmFit
updated 3 months ago by
Gordon Smyth
52k • written 3 months ago by
Devin
▴ 10
2
votes
2
replies
1.3k
views
Limma - Complex 2-way multi-level contrast with paired samples
edgeR
contrastmatrix
limma
4 months ago • updated 3 months ago
Elizabeth
• 0
1
vote
2
replies
951
views
Differential expression of proteins using somascan data
somascan
limma
written 4 months ago by
kkeole1
• 0
2
votes
4
replies
1.2k
views
Use of limma R package with targeted proteomics for DE analysis
DEanalysis
limma
olinktargetedproteomics
4 months ago
svlachavas
▴ 840
3
votes
5
replies
1.7k
views
Differential expression of protein coding ENSGs (Ensembl IDs) | When to biomaRt?
limma
edgeR
biomaRt
updated 5 months ago by
James W. MacDonald
68k • written 5 months ago by
Jonathan
▴ 10
0
votes
0
replies
276
views
Testing Differential Expression with Interaction Effect Between Categorical and Continuous Variable with Repeated (Paired) Measures using variancePar…
limma
variancePartition
6 months ago
GJ
• 0
0
votes
2
replies
567
views
Paired analysis in proteomics data for DE while interested in only a particular subset of the data
limma
modelmatrix
pairedanalysis
Proteomics
written 6 months ago by
svlachavas
▴ 840
2
votes
5
replies
640
views
Differential variability modelling with vst() expression
limma
DESeq2
written 6 months ago by
jtsy6383
• 0
6
votes
5
replies
903
views
How do I fix an odd voom plot in a combined dataset?
limma
Normalization
voom
updated 6 months ago by
James W. MacDonald
68k • written 6 months ago by
1sunmic2
• 0
0
votes
2
replies
660
views
Cross-validation with multiple control subgroups in limma
limma
multtest
6 months ago
Ali Barry
▴ 40
1
vote
9
replies
1.2k
views
Normalizing batch effects using technical replicates for DGE analysis between two conditions from 2 different runs
limma
DESeq2
edgeR
written 6 months ago by
anna.cot.anna.cot
▴ 30
0
votes
2
replies
539
views
Advice needed: Using limma for differential pathway analysis with continuous disease progression scores
limma
DifferentialExpression
Designmatrix
7 months ago
Tadeoye
▴ 20
0
votes
2
replies
734
views
sva: get a sv for RIN scores
limma
sva
variancePartition
voom
RNASeq
updated 7 months ago by
Gordon Smyth
52k • written 7 months ago by
Lina
▴ 10
2
votes
3
replies
1.5k
views
How to annotate a limma Elist raw class object with an annotation file
limma
AnnotationDbi
updated 7 months ago by
James W. MacDonald
68k • written 7 months ago by
giulia.gentile
▴ 10
1
vote
2
replies
613
views
contrast matrix design for a continuous variable
limma
7 months ago • updated 5 months ago
dtzhu337
• 0
3
votes
3
replies
894
views
Crossover design with limma
limma
crossover
updated 6 months ago by
Gordon Smyth
52k • written 7 months ago by
Marek Gierlinski
▴ 30
0
votes
9
replies
1.4k
views
Differential Expression Genes as Independent Variables
limma
DifferentialExpression
variancePartition
dream
updated 7 months ago by
James W. MacDonald
68k • written 7 months ago by
abadgerw
• 0
6
votes
10
replies
3.1k
views
What type of counts data to import for performing Isoform analysis in edgeR
limma
isoform
edgeR
salmon
R
updated 7 months ago by
ATpoint
★ 4.9k • written 7 months ago by
mohammedtoufiq91
▴ 10
1
vote
3
replies
654
views
Struggle with the replicates of epic array data
limma
epicarray
IlluminaHumanMethylationEPICanno.ilm10b2.hg19
written 7 months ago by
Melisa Tecik
• 0
0
votes
2
replies
352
views
List of DEGs belonging to an Agilent-single color microarray experiment using Limma package
limma
7 months ago
giulia.gentile
▴ 10
4
votes
2
replies
1.1k
views
Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Elastic Net): Best practices?
limma
limma-voom
updated 7 months ago by
Gordon Smyth
52k • written 7 months ago by
Ahdee
▴ 60
1
vote
2
replies
430
views
Limma Interaction Effect with Covariates
limma
DMRcate
7 months ago
kitzhu
• 0
2
votes
3
replies
1.2k
views
[How to construct a model.matrix ]
limma
modelmatrix
updated 7 months ago by
Gordon Smyth
52k • written 8 months ago by
kyj2226
• 0
3
votes
4
replies
1.0k
views
Limma- Print-tip loess normalisation-printer layout information does not match M row dimension
Normalization
limma
within-arraynormalisation
Printerlayout
8 months ago
dseauer
• 0
1
vote
3
replies
704
views
makeContrastsDream for Interaction
limma
DifferentialExpression
variancePartition
dream
8 months ago • updated 7 months ago
abadgerw
• 0
0
votes
5
replies
1.0k
views
Merge Replicates vs Mixed Model
limma
DifferentialExpression
variancePartition
dream
8 months ago • updated 7 months ago
abadgerw
• 0
1
vote
8
replies
2.2k
views
Combining RNAseq and microarray data using edgeR/limma-voom
limma
voom
RNASeq
edgeR
Microarray
written 8 months ago by
Adam Marstrand
• 0
1
vote
2
replies
1.2k
views
Consistent Decimals In Data After Antibody Array Background Correction Using Limma:nec Function
limma
MicroarrayData
Normalization
8 months ago
Ai
• 0
3
votes
3
replies
1.4k
views
Robust way of dealing with low number of samples for Differential Gene Expression
limma
edgeR
DESeq2
MAST
written 8 months ago by
Satoshi
• 0
4
votes
3
replies
1.1k
views
Analysis of 2*4 factorial design
limma
updated 8 months ago by
Gordon Smyth
52k • written 8 months ago by
Sudipta
• 0
2
votes
12
replies
2.4k
views
limma technical repeat correction
limma
lmer
duplicateCorrelation
technicalrepeats
8 months ago • updated 7 months ago
john
• 0
50 results • Page
1 of 1
Recent ...
Replies
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
by
richardallenfriedmanbrooklyn
▴ 30
He is of the opinion that the negative binomial model is appropriate to RNASeq because of sequencing and that since Xenium uses probes it i…
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
by
ATpoint
★ 4.9k
Would you share the rationale of your colleague for the sake of discussion?
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
by
richardallenfriedmanbrooklyn
▴ 30
Dear ATpoint, Thank you. That is also my understanding. A colleague thinks otherwise and specifically asked me to ask Gordon Smyth. I am a…
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
by
ATpoint
★ 4.9k
It's digital counts, not intensities, so naturally you would go with the RNA-seq methods.
Comment: HMP_2019_t2d data origin
by
Blan
• 0
Thanks! However, I don't see anything regarding this study in particular. I would like to access the raw data. In the source publication ci…
Votes
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
Comment: Should Xenium pseudobulk experiments be analysed like microarrays (limma) or lik
Answer: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
Comment: competitive enrichment test yields too few significant results, self-contained t
Answer: competitive enrichment test yields too few significant results, self-contained t
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▴ 30
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▴ 10
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