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gagedata
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GAGE kegg.gsets() self-signed certificate error
gageData
gage
8 months ago
Lucas
• 0
0
votes
0
replies
588
views
How to use GAGE with my own metagenomic KOFams data
kegg.gsets
gageData
gage
KEGG
16 months ago
cereyredondo
• 0
0
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0
replies
1.2k
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Pathway Analysis using GAGE
gage
RNASeq
gageData
Pathways
3.6 years ago
OST
• 0
6
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5
replies
2.3k
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KEGG analysis for plasmodium
KEGG
gage
gageData
pathview
updated 4.7 years ago by
Luo Weijun
★ 1.6k • written 4.7 years ago by
MOHAMMAD
• 0
0
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0
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932
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Setting threshold with gage for gene set analysis
gage
gageData
4.7 years ago
jd348
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1
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2
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1.7k
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Can I create a gene set using GAGE?
gage
pathview
gageData
written 4.9 years ago by
Emilia
▴ 40
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Answer: How can I correctly use phyloseq with Docker?
by
Kevin Blighe
★ 4.0k
The Bioconductor version must be compatible with the R version. Bioconductor version 3.18 is compatible with R version 4.3. The Dockerfile …
Answer: Boolean Gate Combination for Any 2 Positive Events in flowWorkspace
by
Kevin Blighe
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Your proposed code is correct and will achieve the desired outcome. The boolean filter expression `IFNg & TNFa | IFNg & IL2 | TNFa & IL2` i…
Answer: Guidance Requested on GCN Network Analysis and Module Enrichment in R
by
Kevin Blighe
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The discrepancy between `final_exp1` and `final_exp2` could arise from several factors, despite matching dimensions. The `identical()` func…
Answer: ORFik: spliced 5utr regions
by
Kevin Blighe
★ 4.0k
Hello Luna. The findUORFs function in ORFik identifies upstream open reading frames by extracting and concatenating the sequences of exo…
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by
Kevin Blighe
★ 4.0k
Your observation aligns with the expected behavior of Mutect2 in tumor-only mode, where the panel of normals (PON) integrates into the vari…
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Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Identifying differentially expressed genes in individual samples from a large co
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