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OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data
add `cumulative` to the labels where we have cumulative data.
It's easy to create an OutriderDataSet with a countData matrix which has its columns in a different order than rows in the colData table. However, this leads to incorrectly assigned...
Dear OUTRIDER authors, thank you for this very useful package. These days i am doing some initial tests and unfortunately I am not able to limit the number of cores...
Hi, the package looks very promising but every time I try to run it on my own data it just hangs at the autoencoder step...it doesn't matter if I run...
I am working on RNAseq data from a small cohort of rare but heterogeneous disease (12 samples). Although I am able to see clear outliers in edgeR/glimma expression plots, OUTRIDER...
1) ~Since a part of OUTRIDER's vignette was designed with RNA-seq data in mind, it seems that not all functions are meant to be used for proteomics data. For instance,...
I get an error when trying to find the best q parameter: ``` library(reticulate) library(OUTRIDER) reticulate::use_virtualenv(virtualenv = "/home/mpauper/.cache/pypoetry/virtualenvs/nmd-project-NMwd2pX9-py3.10") ex
Hello, Thank you for developing the package, it is very useful. I have some questions. Firstly we have recently conducted transcriptome sequencing, and the difference of several G's of each...
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OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data