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Non-empty droplets versus good quality cells
CellRanger
emptyDrops
scRNAseq
10X
11 months ago
rocanja
▴ 60
0
votes
1
reply
1.1k
views
Choosing the right lower limit for emptyDrops
SingleCell
emptyDrops
10X
updated 22 months ago by
Peter Hickey
▴ 750 • written 22 months ago by
sandra.garces.19
• 0
0
votes
2
replies
977
views
Compare and filter three BAM files
RNAseq
10X
23 months ago
wt215
• 0
4
votes
5
replies
3.5k
views
`emptyDrops()` calling 'too many' non-empty droplets
DropletUtils
emptyDrops
scRNA
scRNAseq
10x
2.6 years ago • updated 2.5 years ago
Peter Hickey
▴ 750
1
vote
1
reply
1.3k
views
Number of non-empty drops returned by emptyDrops() depends on value of test.ambience
DropletUtils
emptyDrops
10x
updated 4.1 years ago by
Aaron Lun
★ 28k • written 4.1 years ago by
Peter Hickey
▴ 750
5
votes
3
replies
1.8k
views
Latent factors for differential expression
deseq2
zinbwave
10X
scRNA-seq
Differential expression
updated 4.6 years ago by
Michael Love
43k • written 4.6 years ago by
vincent.croset
▴ 20
4
votes
2
replies
3.2k
views
When to combine samples in the pre-processing of 10x scRNA-seq data?
10x
scrna-seq
updated 5.8 years ago by
Aaron Lun
★ 28k • written 5.8 years ago by
jma1991
▴ 70
7
votes
12
replies
8.3k
views
How to identify real cells in 10X RNA-seq ?
single-cell
10X
Cell calling
DropletUtils
cellranger
updated 6.0 years ago by
Aaron Lun
★ 28k • written 6.0 years ago by
xingxd16
▴ 20
8 results • Page
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Comment: how many significant figures are there in DESeq2 output
by
ATpoint
★ 4.7k
If you want consistency then use a fixed software environment like Docker, wirh fixed code and thresholds that make sense. Rounding to near…
Comment: Compare TCGA-PAAD with GTEx gene expression
by
Jane
• 0
why aren't there any answers?
Comment: Too many significant genes when integrating gtex and tcga
by
Jane
• 0
I encountered the same issue: too many DEGs after limma analysis. It is sad that until today we can still see the paper published where GTE…
Comment: how many significant figures are there in DESeq2 output
by
Matthew McCormack
▴ 180
Thank you for your reply. It is good to know that cutoff of 0.05 means less than 0.05. My concerns are about consistency and reproducibili…
Comment: DiffBind edgeR normalization --- why are the normalization factors all equal to
by
ATpoint
★ 4.7k
No, normalization factors from edgeR rather than size factors from DESeq2 are not proportional, it's a different concept and implementation…
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Unbalanced experiment with multiple samples from each patient.
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