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TCGAutils
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TCGA RNAseq Normalization
normalization
RNASEQ
Normalization
TCGAutils
TCGA
updated 24 months ago by
ATpoint
★ 4.5k • written 24 months ago by
Deniz
• 0
3
votes
4
replies
2.1k
views
Error with R package curatedTCGAData while trying to download TCGA MultiAssayExperiments
MultiAssayExperiment
curatedTCGAData
TCGAutils
4.0 years ago
svlachavas
▴ 830
3
votes
3
replies
1.4k
views
Error in MAE experiment regarding the replacement of internal assays with different number of features
MultiAssayExperiment
curatedTCGAData
TCGAutils
updated 4.0 years ago by
Marcel Ramos
700 • written 4.0 years ago by
svlachavas
▴ 830
3
votes
3
replies
1.5k
views
Implementation of MultiAssayExperiment and curatedTCGAData R packages for quering and prosessing multi-omics cancer datasets
MultiAssayExperiment
curatedTCGAData
TCGAutils
updated 4.0 years ago by
Marcel Ramos
700 • written 4.1 years ago by
svlachavas
▴ 830
5
votes
11
replies
4.6k
views
Matching TCGA Aliquot ID to UUID or Barcode
TCGAutils
TCGAbiolinks
GenomicDataCommons
updated 5.4 years ago by
Marcel Ramos
700 • written 5.4 years ago by
Dario Strbenac
★ 1.5k
0
votes
1
reply
890
views
Breast cancer subtypes in TCGAutils
TCGAutils
updated 5.6 years ago by
Levi Waldron
★ 1.1k • written 5.6 years ago by
vittorio.fortino
• 0
3
votes
4
replies
1.6k
views
TCGAutils: Error in .checkBarcodes(barcodes) : barcode delimiters not consistent
TCGAutils
multiassayexperiment
coad
updated 6.4 years ago by
Marcel Ramos
700 • written 6.4 years ago by
mario.zanfardino
▴ 160
7 results • Page
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Comment: Issues with BSgenome.Mmusculus.UCSC.mm39 and generating motif matrix in Signac (
by
Paul
• 0
You are an absolute lifesaver, thank you so much for the clarification!
Answer: Issues with BSgenome.Mmusculus.UCSC.mm39 and generating motif matrix in Signac (
by
James W. MacDonald
67k
The `EnsDb.Mmusculus.v79` package is mm38, not mm39. If you want a current `EnsDb`, use `AnnotationHub` ``` > library(AnnotationHub) >…
Comment: Identical samples after deseq2 batch effect removal
by
Michael Love
42k
I'm adding my comment to the threaded section ... I don't have any suggestions here but whatever method you're using is not appropriate up…
Comment: ANOVA like approach of edgeR
by
Yunshun Chen
▴ 880
If you do it this way, the dispersion estimates would be much higher than they should (as the cell type difference is not accounted for in …
Comment: ANOVA like approach of edgeR
by
SamGG
▴ 350
Simply remove the cell type from the model. design <- model.matrix(~targets$Status)
Votes
Answer: ANOVA like approach of edgeR
A: ANOVA-like test with edgeR
Answer: CleanUpRNAseq with a GTF that is missing mitochondria annotation data
Answer: CleanUpRNAseq with a GTF that is missing mitochondria annotation data
A: TopGO: How to retrieve the gene list related to a GO ID ?
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