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goslim
•
reset
0
votes
8
replies
1.4k
views
GOslim missing GO term
GO.db
GOslim
16 months ago
amanda
• 0
3
votes
4
replies
2.5k
views
GSEABase - Map gene/transcript IDs to GOslims?
gseabase
go
gene ontology
goslim
5.1 years ago • updated 2.1 years ago
samwhite
▴ 20
7
votes
9
replies
4.6k
views
GSEABase - View/extract GO terms mapped to each GOslim
go
GSEABase
GOslim
gene ontology
5.1 years ago • updated 2.0 years ago
samwhite
▴ 20
0
votes
2
replies
2.0k
views
Resolved- GSEAbase: goSlim function, pb with counts
GSEA
GO
goSlim
7.6 years ago
maeva.mollion
• 0
1
vote
1
reply
1.5k
views
Obtaining Go slim terms from biomaRt
biomaRt
goslim
go
updated 8.4 years ago by
Mike Smith
★ 6.6k • written 8.4 years ago by
rubi
▴ 110
0
votes
0
replies
1.6k
views
Create list of genes within each GOslim term
gene ontology
goslim
enrichment analysis
gene annotation
9.0 years ago
mirko
• 0
6 results • Page
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Answer: fast apply on RleList
by
story.benjamin
▴ 20
solved with viewApply (code is simplified below) + map reduce on chrs test.split <- split(test.gr,seqnames(test.gr)) final.st…
Comment: fast apply on RleList
by
story.benjamin
▴ 20
Hi James, thanks for the reply. I ultimately figured it out ... viewApply showed a massive speed increase for me (see other answer) - I was…
Answer: fast apply on RleList
by
James W. MacDonald
68k
There is already a 'mean' function that will dispatch on an `RleList` that you can use. I don't have a long `RleList` in hand to test it on…
Answer: Custom CDF creation for HTA 2.0 array using GTF annotation
by
James W. MacDonald
68k
It doesn't appear that Manhong Dai is working at UM any longer, and the webpage appears to have fallen into disrepair (for example, the lin…
Comment: how to use `arrayWeightsQuick()`?
by
matthew
• 0
In the specific use-case I have in mind, `expression` is a simple `matrix` of log2 gene expression per sample, no missing values.
Votes
annotation EpicV2
Answer: fast apply on RleList
Answer: BiocParallel_1.40.1.tar.gz not available
Modelling gene program dynamics across time with {lemur}
A: DESeq2 one group vs multiple groups comparison in presence of batch effect
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