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degraph
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DE analysis in EdgeR /Can any one please help me.
RNASeqData
DEGraph
RNASeq
edgeR
DegNorm
written 15 months ago by
Shaozhen
• 0
0
votes
2
replies
819
views
RNAseq analysis
rnaseqGene
edgeR
DEGraph
DifferentialExpression
updated 19 months ago by
Gordon Smyth
53k • written 19 months ago by
z_bahari
• 0
0
votes
4
replies
1.6k
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DEGraph demo exprData question
GO
DEGraph
GO
DEGraph
14.6 years ago
Dick Beyer
★ 1.4k
0
votes
1
reply
1.9k
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Which resources for pathway analysis?
Pathways
Network
SPIA
DEGraph
Pathways
Network
SPIA
DEGraph
updated 14.6 years ago by
January Weiner
▴ 370 • written 14.6 years ago by
laurent jacob
▴ 100
4 results • Page
1 of 1
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Comment: Help with defining groups
by
Phinney, Brett
▴ 10
I got it working , thank you!!!
Comment: Check removeBatchEffect effectiveness
by
massimo
• 0
I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…
Comment: Error Loading Experiment from SimBenchData Package
by
ksankaran
• 0
Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
by
ATpoint
★ 5.0k
Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…
Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes
by
ATpoint
★ 5.0k
Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…
Votes
Comment: Check removeBatchEffect effectiveness
Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)
Answer: Error Loading Experiment from SimBenchData Package
Comment: incomplete imputation of missing values with LEA impute() function
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
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