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scrnaseq
•
reset
1
vote
5
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821
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Recommendation for large.n in filterByExpr
scRNAseq
edgeR
SingleCellExperiment
8 months ago
duez.tolga
• 0
2
votes
3
replies
1.3k
views
P-value histogram of testLinearModel is not uniform
smart-seq2
scRNAseq
scran
10 months ago
Lluís Revilla Sancho
▴ 730
0
votes
1
reply
543
views
library(topGO) query
topGO
scRNAseq
updated 8 months ago by
Basti
▴ 770 • written 9 months ago by
Francesco
• 0
0
votes
2
replies
471
views
scRNA analysis : DEG between low and high-expressing cells
scRNAseq
6 months ago
Momo
• 0
0
votes
2
replies
866
views
Single-Cell Data Simulation from Bulk RNA-seq
SingleCell
RNASeq
RNASeqData
scRNAseq
updated 1 day ago by
wichaidi
• 0 • written 17 months ago by
irvin.ng
• 0
1
vote
11
replies
3.3k
views
Error: Bioconductor version cannot be validated; no internet connection?
scRNAseq
updated 5 months ago by
Manuel
• 0 • written 9 months ago by
Elham
• 0
1
vote
2
replies
738
views
ScRNAseq analysis scran :: quickcluster Error
scRNAseq
quickcluster
scRNA
scran
4 months ago
ruba-mahmoud
• 0
0
votes
1
reply
963
views
DESeq2 error after installing BiocManager
scRNAseq
RStudio
DESeq2
updated 8 months ago by
ATpoint
★ 4.0k • written 8 months ago by
DrFizz
• 0
0
votes
2
replies
661
views
Could not find function "Standard Chromosomes"
scrna
scRNAseq
updated 5 months ago by
Gabriella
• 0 • written 13 months ago by
sarah.jobbins
• 0
0
votes
2
replies
188
views
Non-empty droplets versus good quality cells
CellRanger
emptyDrops
scRNAseq
10X
4 weeks ago • updated 29 days ago
rocanja
▴ 60
0
votes
1
reply
401
views
If highly-expressed genes are upregulated, what happens to genes with lower expression after normalization?
scRNA
scRNAseq
updated 8 months ago by
ATpoint
★ 4.0k • written 8 months ago by
Omer
• 0
4
votes
3
replies
1.0k
views
Custom design for scRNA DGE with pseudobulking
scRNAseq
scrna
paireddesign
edgeR
pseudobulking
updated 8 months ago by
Gordon Smyth
50k • written 8 months ago by
garcia
• 0
0
votes
1
reply
103
views
Can you find the correct transcript in scRNA seq data
scRNAseq
RNAseq
updated 8 days ago by
ATpoint
★ 4.0k • written 10 days ago by
Merav
• 0
0
votes
1
reply
376
views
FALSE error when checking a pre made sample data
Rstudio
scRNAseq
DESeq2
updated 8 months ago by
ATpoint
★ 4.0k • written 8 months ago by
DrFizz
• 0
0
votes
1
reply
232
views
How to select cells that represents more accurately a cluster in a scRNA-seq dataset?
scRNAseq
updated 7 weeks ago by
ATpoint
★ 4.0k • written 7 weeks ago by
sodiogoes
• 0
0
votes
0
replies
455
views
News:
course - single-cell RNAseq data analysis with R and Bioconductor
Workshop
scRNAseq
11 months ago
info
▴ 10
0
votes
0
replies
339
views
adding noise to scRNA Seq counts
scRNAseq
9 months ago
Jiyuan
• 0
17 results • Page
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Comment: significant difference of p-values with dream() after updating VariancePartition
by
gabriel.hoffman
▴ 100
See variancePartition updates for [v1.33.11](https://diseaseneurogenomics.github.io/variancePartition/news/index.html#variancepartition-133…
Comment: A ComBat-seq issue: the covariates are confounded
by
W. Evan Johnson
▴ 850
This is only partially confounded because there is overlap between the batches -- they both have GFP controls that can be used to remove ba…
Answer: Different number of exons in reference genome affects DEXSeq analysis
by
Alejandro Reyes
★ 1.9k
Likely the new annotation that you are using has more annotated isoforms, and thus the exons are splitted into more disjoint exonic bins. I…
Answer: Adding columns to DEXSeqResults object
by
Alejandro Reyes
★ 1.9k
I'd have a look into the match function, that could give you a mapping between the ids in the dxr1 object and your data frame of gene symbo…
Answer: rlog transformation
by
Michael Love
41k
It is dependent on the other samples in the dataset.
Votes
Comment: DEXSeq DEXSeqDataSet count matrix duplication
Comment: Error in champ.load(): The following specified files do not exist
Answer: Error in read.metharray(basenames = files, extended = extended, verbose = verbos
Using GRanges and IRanges to simply get all chromosome data
A: Using GRanges and IRanges to simply get all chromosome data
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