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NA
•
reset
2
votes
1
reply
2.9k
views
Removing metadata rows containing NA values in GRanges
IRanges
GRanges
NA
updated 3.1 years ago by
ATpoint
★ 5.0k • written 3.1 years ago by
Timucin
• 0
0
votes
1
reply
2.0k
views
values (NA) in p value Deseq2 (reopen)
pvalue
NA
R
DESeq2
updated 4.0 years ago by
ATpoint
★ 5.0k • written 4.0 years ago by
Johan Largo
• 0
0
votes
1
reply
1.2k
views
using qCount from the QuasR package
qCount
QuasR
NA
updated 5.3 years ago by
Michael Stadler
▴ 350 • written 5.3 years ago by
jabbar_campbell
• 0
2
votes
5
replies
5.2k
views
Dealing with NA values from mass spec data using Limma, NA values.
limma
mass spec
na
updated 6.7 years ago by
Gordon Smyth
53k • written 6.7 years ago by
reubenmcgregor88
• 0
0
votes
2
replies
1.8k
views
normalizecoverage in methylkit outputs NAs
methylkit
normalizecoverage
NA
updated 7.1 years ago by
altuna akalin
▴ 20 • written 7.1 years ago by
GFM
▴ 20
0
votes
8
replies
4.9k
views
DESeq2: handling NA values in colData
deseq2
coldata
NA
updated 15 months ago by
Michael Love
43k • written 7.3 years ago by
t.kuilman
▴ 170
0
votes
1
reply
2.8k
views
DGEList remove/exclude rows with entrezgene = 'NA'
edger
dgelist
NA
egsea
updated 7.7 years ago by
Gordon Smyth
53k • written 7.7 years ago by
belmore
• 0
0
votes
0
replies
1.0k
views
Inconsistent Missing Values When Importing GFF3
rtracklayer
NA
9.2 years ago
Dario Strbenac
★ 1.6k
2
votes
4
replies
1.6k
views
ResrtingTools include pvalue NA
reportingtools
deseq2
NA
pvalue
updated 9.4 years ago by
Michael Love
43k • written 9.4 years ago by
NMostajo
▴ 10
0
votes
3
replies
5.0k
views
DESeq2, Still a most genes get padj=NA after declare cooksCutoff=FALSE in the results () function
deseq2
NA
cooksCutoff
updated 9.6 years ago by
Michael Love
43k • written 9.6 years ago by
colaneri
▴ 30
2
votes
1
reply
2.2k
views
Meaning of NA for LRR and BAF values estimated with GWASTools
gwastools
lrr
baf
NA
updated 10.0 years ago by
Stephanie M. Gogarten
▴ 890 • written 10.0 years ago by
Vinicius Henrique da Silva
▴ 40
1
vote
3
replies
1.9k
views
NAs values when importing BED file using import function
rtracklayer
NA
BED
getseq
10.0 years ago
Dimitris Polychronopoulos
▴ 80
0
votes
1
reply
2.0k
views
Plotting confidence intervals with NA values
graphics
confidence interval
NA
updated 10.1 years ago by
James W. MacDonald
68k • written 10.1 years ago by
Vinicius Henrique da Silva
▴ 40
2
votes
2
replies
2.3k
views
Ploting with NA values in Gviz (generic function from plot)
Gviz
Plot
NA
graph
Job
updated 10.3 years ago by
James W. MacDonald
68k • written 10.3 years ago by
Vinicius Henrique da Silva
▴ 40
0
votes
0
replies
1.8k
views
missing values in data as input for parody package
parody
r
NA
10.7 years ago
upendrakumar.devisetty
• 0
1
vote
2
replies
2.4k
views
Automatic NA values generated by the ld() function of snpStats package
snpStats
BioConductor
LD
Linkage Disequilibrium
NA
10.8 years ago • updated 10.7 years ago
remi.tournebize
▴ 10
3
votes
6
replies
2.7k
views
Possible bug in DEseq2 1.6.1 ?
deseq2
cook
NA
updated 11.1 years ago by
Michael Love
43k • written 11.1 years ago by
skiaphrene
▴ 10
12
votes
13
replies
9.3k
views
EdgeR Differential Expression analysis with NAs
EdgeR
rnaseq
NA
updated 11.1 years ago by
Aaron Lun
★ 29k • written 11.1 years ago by
elliott77
• 0
18 results • Page
1 of 1
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Replies
Comment: Getting a large intercept with DESeq2
by
Michael Love
43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2
by
James W. MacDonald
68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C
by
ATpoint
★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa?
by
Gordon Smyth
53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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