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microarrays
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4
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5
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sample size determination in microarrays studies with limma analysis
limma
sample size
microarrays
statistical power
6.8 years ago
eleonoregravier
▴ 70
0
votes
6
replies
3.1k
views
not able to install geoquery package
microarrays
xml
RCurl
libxml2
libcurl
updated 7.9 years ago by
Martin Morgan
25k • written 7.9 years ago by
farahqureshi5
• 0
0
votes
0
replies
929
views
microarray data expression set
whole human genome microarray 4x44k
microarrays
7.9 years ago
farahqureshi5
• 0
5
votes
6
replies
1.7k
views
Confusing: identify differentially expression genes (DEG) perturbed by a drug in Limma
limma
cmap
microarrays
differential gene expression
8.0 years ago
kevin.m.hao
▴ 10
7
votes
4
replies
3.6k
views
Limma contrast for variables disease, gender and age
limma design matrix
limma
limma contrast matrix
microarrays
8.5 years ago
miyuki_iii
▴ 10
5 results • Page
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Comment: Why did PCA plots look exactly the same after adjusting for batch covariate in D
by
Michael Love
43k
hi, for questions about what statistical analysis approach to use, I recommend you work with a local statistician or someone familiar with …
Comment: Problems with oarfish + tximport + swish
by
Michael Love
43k
I'm not certain that this will work with Oarfish, the documentation only mentions Salmon and piscem. I'd use tximport for now.
Answer: Problems with oarfish + tximport + swish
by
Michael Love
43k
> This is fine Did tximeta() print that a matching transcriptome was found?
Answer: DESeq2 Heatmap
by
swbarnes2
★ 1.4k
> However, I've been asked why the first column (vehicle/control) isn't > entirely zero on the log fold change (logFC) expression scale. …
Comment: Biomart and ensembl not working?
by
James W. MacDonald
67k
``` > library(biomaRt) > mart <- useEnsembl("ensembl","hsapiens_gene_ensembl") Ensembl site unresponsive, trying useast mirror > mart Objec…
Votes
Answer: Limma Interaction Effect with Covariates
Comment: DESeq2 for single cell pseudobulk processing
C: Limma: how to get same output as topTable but for all the genes ?
A: Processing agilent data by limma
A: Linear regression in DESeq2
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