Showing : covariates • reset
0
votes
0
replies
479
views
Model matrix for a complex study design using aldex.glm module from ALDEx2 R package
ALDEx2 modelmatrix covariates
9 months ago amir • 0
5
votes
10
replies
2.0k
views
EdgeR full model vs. reduced model - p-value for covariate
EdgeR differential expression analysis covariates
updated 3.8 years ago by 50k • written 3.8 years ago by ▴ 60
2
votes
3
replies
840
views
Drug response pre- and post-treatment between timepoints across conditions
RNA-seq Paired design Timecourse Diagnosis Covariates
updated 4.1 years ago by ★ 3.9k • written 4.1 years ago by • 0
0
votes
1
reply
869
views
Assessing the influence of covariates on RNA-seq in DESeq2
deseq2 rna-sequencing covariates glm
updated 4.3 years ago by 41k • written 4.3 years ago by ▴ 20
0
votes
3
replies
977
views
In SVA, the percent of biological variable of interest didnot change after adding SV1
SVA combat r microarray covariates
updated 4.5 years ago by 25k • written 4.5 years ago by • 0
3
votes
4
replies
944
views
How to check whether experimental covariates are confounded with our group of interest?
covariates microarray
4.6 years ago • updated 4.5 years ago english.server ▴ 20
2
votes
2
replies
820
views
Is the data after variance stabilising transformation (blind = FALSE) already corrected for covariates?
deseq2 vst covariates
updated 4.8 years ago by 41k • written 4.8 years ago by ▴ 20
5
votes
9
replies
1.7k
views
limma Multi-level Experiments correcting for continuous covariates
limma epic methylation limma design matrix covariates
updated 5.6 years ago by ★ 28k • written 5.6 years ago by • 0
0
votes
2
replies
1.6k
views
Removing batch effect from gene expression before Limma linear modelling
Limma differential gene expression batch effect correction covariates
updated 5.9 years ago by 50k • written 5.9 years ago by • 0
3
votes
4
replies
1.2k
views
Agilent Single-Channel Data: Questions about model statement and model building.
limma agilent microarray covariates
updated 5.9 years ago by 50k • written 5.9 years ago by ▴ 10
2
votes
4
replies
4.7k
views
Age covariate continuous vs. categorical
deseq2 linear model covariates age design model
updated 6.2 years ago by 41k • written 6.2 years ago by • 0
0
votes
0
replies
928
views
How to specify covariates in maSigPro analysis (like limma)
masigpro covariates limma differential expression time-course
6.5 years ago veersingh.marwah • 0
1
vote
4
replies
20k
views
Adjusting for covariates in paired sample design DESeq2
deseq2 deseq paired samples covariates multiple time points
6.6 years ago imb ▴ 10
0
votes
1
reply
1.6k
views
DESeq2 biological replicates and RIN values
deseq2 differential gene expression covariates rnaseq
updated 6.6 years ago by 41k • written 6.6 years ago by • 0
2
votes
3
replies
9.1k
views
DESeq2 model with covariates
deseq2 covariates
updated 6.7 years ago by 41k • written 6.7 years ago by • 0
3
votes
19
replies
3.6k
views
remove batch effect and adjusted model for 4 covariates in Limma
limma batch effect covariates contrast differential gene expression
7.1 years ago mheydarpour ▴ 10
0
votes
4
replies
2.5k
views
DESeq2: Outliers, covariates and number of replicates
deseq2 ruvseq cookscutoff covariates batch
7.4 years ago j.viana • 0
5
votes
7
replies
8.7k
views
Limma design with continuous and categorical covariates
limma batch effect covariates microarray
updated 7.7 years ago by ★ 28k • written 7.7 years ago by ▴ 30
2
votes
3
replies
1.4k
views
comBat/SVA with no "variable of interest" and two batches
combat sva covariates
updated 8.0 years ago by ▴ 420 • written 8.0 years ago by • 0
3
votes
3
replies
3.2k
views
Adjustment of covariates in 450k data using Limma
limma covariates 450k
8.0 years ago AST ▴ 60
1
vote
2
replies
1.9k
views
RUVSEq and VSD integration
deseq2 ruvseq covariates continuous vsd
updated 8.1 years ago by 41k • written 8.1 years ago by ▴ 10
4
votes
3
replies
9.3k
views
How do I extract read counts from DESeq2
deseq2 counts covariates
updated 8.1 years ago by 41k • written 8.1 years ago by ▴ 10
0
votes
0
replies
1.8k
views
limma: blocking factors and factorial design
limma differential gene expression design and contrast matrix covariates
8.2 years ago jlerga • 0
0
votes
2
replies
3.1k
views
LIMMA Adjustment for Covariates
limma covariates
updated 8.3 years ago by ★ 28k • written 8.3 years ago by • 0
24 results • Page 1 of 1
Recent ...
Replies
Answer: SNP locus package for mouse? by James W. MacDonald 65k
There isn't (IIRC) an official way to do this, but [Herve has a GitHub][1] with a package that you could use if you are willing to put in t…
Answer: flowStats Search Error by James W. MacDonald 65k
A better approach is to click on the Packages header on the main site, then search on that page for flowStats, rather than searching the en…
Comment: geneList error in clusterprofiler by Ana • 0
Ahh thank you, that fixed it!
Answer: geneList error in clusterprofiler by Basti ▴ 760
Have a look at the documentation : https://www.rdocumentation.org/packages/clusterProfiler/versions/3.0.4/topics/gseGO geneList argument s…
Comment: Memory errors using read.bismark? by Juan Higareda • 0
Thanks again for your answer, I will try to play a little bit with the parameters. Only one thing, my data are actually CpG methylation :)…
Votes
Answer: geneList error in clusterprofiler
Comment: Memory errors using read.bismark?
Comment: Not fully paired differential gene expression analysis
Comment: [DiffBind] Obtaining normalization factors
Answer: ComplexHeatmap: add pch to rowAnnotation when the input is a data frame with var
Awards • All
Popular Question to paria.alipour • 0
Popular Question to Eman • 0
Popular Question to James W. MacDonald 65k
Scholar to nhaus ▴ 30
Popular Question to shepherl 3.8k
Locations • All
United States, just now
Switzerland, just now
United Kingdom, 1 minute ago
United States, 13 minutes ago
France, 14 minutes ago
Traffic: 729 users visited in the last hour
Content Search
Users
Tags
Badges
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6