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How can I avoid artifacts in gene set/pathway scoring by UCell and similar algorithms?
escape
UCell
GSVA
updated 4 months ago by
arina
• 0 • written 14 months ago by
Omer
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Comment: significant difference of p-values with dream() after updating VariancePartition
by
gabriel.hoffman
▴ 100
See variancePartition updates for [v1.33.11](https://diseaseneurogenomics.github.io/variancePartition/news/index.html#variancepartition-133…
Comment: A ComBat-seq issue: the covariates are confounded
by
W. Evan Johnson
▴ 850
This is only partially confounded because there is overlap between the batches -- they both have GFP controls that can be used to remove ba…
Answer: Different number of exons in reference genome affects DEXSeq analysis
by
Alejandro Reyes
★ 1.9k
Likely the new annotation that you are using has more annotated isoforms, and thus the exons are splitted into more disjoint exonic bins. I…
Answer: Adding columns to DEXSeqResults object
by
Alejandro Reyes
★ 1.9k
I'd have a look into the match function, that could give you a mapping between the ids in the dxr1 object and your data frame of gene symbo…
Answer: rlog transformation
by
Michael Love
41k
It is dependent on the other samples in the dataset.
Votes
Comment: DEXSeq DEXSeqDataSet count matrix duplication
Comment: Error in champ.load(): The following specified files do not exist
Answer: Error in read.metharray(basenames = files, extended = extended, verbose = verbos
Using GRanges and IRanges to simply get all chromosome data
A: Using GRanges and IRanges to simply get all chromosome data
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