Comments (4)
Fedster
commented on June 28, 2024
I’ll do that
Cheers
F
… On 19 May 2021, at 21:07, T. D. Laajala ***@***.***> wrote:
Part of gex in Friedrich don't have gene names but instead ENSG#######
> head(grep("ENSG00", rownames(mae_friedrich[["gex"]]), value=TRUE))
[1] "ENSG00000083622" "ENSG00000115934" "ENSG00000121388" "ENSG00000124593" "ENSG00000124835" "ENSG00000132832"
> length(grep("ENSG00", rownames(mae_friedrich[["gex"]]), value=TRUE))
[1] 7241
Need to homogenize them to be hugo symbols instead all the way.
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Federico Calboli
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Fedster
commented on June 28, 2024
Ok, I did rerun the data thinking I did make a mistake, and I did re-push the friedrich gex, but it is an issue in the curatedPCaData_genes
curatedPCaData_genes[which(curatedPCaData_genes[,1] == 'ENSG00000083622'), ]
ensembl_gene_id ensembl_transcript_id hgnc_symbol refseq_mrna
218329 ENSG00000083622 ENST00000456270
chromosome_name start_position end_position
218329 7 117604791 117647415
description
218329 novel transcript, antisense to CFTR
these 6 ENSMBL gene IDs do not have a hgnc_symbol in the table.
Cheers
Federico
… On 19 May 2021, at 21:07, T. D. Laajala ***@***.***> wrote:
Part of gex in Friedrich don't have gene names but instead ENSG#######
> head(grep("ENSG00", rownames(mae_friedrich[["gex"]]), value=TRUE))
[1] "ENSG00000083622" "ENSG00000115934" "ENSG00000121388" "ENSG00000124593" "ENSG00000124835" "ENSG00000132832"
> length(grep("ENSG00", rownames(mae_friedrich[["gex"]]), value=TRUE))
[1] 7241
Need to homogenize them to be hugo symbols instead all the way.
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Reply to this email directly, view it on GitHub, or unsubscribe.
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Federico Calboli
***@***.***
from curatedpcadata.
Syksy
commented on June 28, 2024
Thanks - it's about differences in gene annotations and how they're structured in various databases, the ENSG-genes or ENST-transcripts don't have a 1:1 mapping to Hugo gene symbols, so in case of ambiguity or missing symbols, we'll most likely have to try either collapse multiple instances or omit genes without a gene symbol.
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Syksy
commented on June 28, 2024
Friedrich et al. has now been processed from raw data in v0.6.21 using limma pipeline for Agilent one-color arrays in generate.R, including the mapping to hugo symbols and collapsing probes while removing rows without hugo symbols.
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Related Issues (20)
- Creation of sufficiently elaborate metadata for each MAE HOT 1
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- Risk score benchmarking HOT 1
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