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gageData
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433
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GAGE kegg.gsets() self-signed certificate error
gageData
gage
6 months ago
Lucas
• 0
0
votes
0
replies
532
views
How to use GAGE with my own metagenomic KOFams data
kegg.gsets
gageData
gage
KEGG
15 months ago
cereyredondo
• 0
0
votes
0
replies
1.1k
views
Pathway Analysis using GAGE
gage
RNASeq
gageData
Pathways
3.5 years ago
OST
• 0
6
votes
5
replies
2.2k
views
KEGG analysis for plasmodium
KEGG
gage
gageData
pathview
updated 4.6 years ago by
Luo Weijun
★ 1.6k • written 4.6 years ago by
MOHAMMAD
• 0
0
votes
0
replies
902
views
Setting threshold with gage for gene set analysis
gage
gageData
4.6 years ago
jd348
• 0
1
vote
2
replies
1.6k
views
Can I create a gene set using GAGE?
gage
pathview
gageData
written 4.7 years ago by
Emilia
▴ 40
6 results • Page
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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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