conos icon indicating copy to clipboard operation
conos copied to clipboard

R package for the joint analysis of multiple single-cell RNA-seq datasets

Results 12 conos issues
Sort by recently updated
recently updated
newest added

Hi @VPetukhov @evanbiederstedt ### When creating a conos object the session crashes at: ``` Performing P2 processing... 12360 cells, 25732 genes; normalizing ... Using plain model Winsorizing ... log scale...

Hi @evanbiederstedt , Is there an equivalent function to this in Seurat https://github.com/satijalab/seurat/issues/3116#issuecomment-640440296 within conos.

enhancement
help wanted

Hello, I noticed that there was a new(ish) tutorial for performing conos with velocity information. It would be great if this was capable of working with "generic" h5ad files with...

help wanted

Hi, This is not a question but rather a need for clarification. I am confronted with some limitations due the input data being Seurat objects. For instance, detection of gene...

help wanted

Hi, Thanks for the great tool. Conos has been working fantastically on my dataset. I am writing as to ask whether it would be possible to obtain feature loadings for...

help wanted

It should be possible to solve using graph coloring algorithms. For example, [MapColor](https://github.com/hunzikp/MapColoring) is a package, which does it for polygon maps (probably there is something better for our case)....

enhancement
help wanted

In function [getDifferentialGenes](https://github.com/hms-dbmi/conos/blob/master/R/conclass.r#L338) currently supports only pagoda2. To fix it, we need to create function `getDifferentialGenesSeurat` and call it conditionally in the same way as [`getDifferentialGenesP2`](https://github.com/hms-dbmi/conos/blob/master/R/conclass.r#L351). Function should have the...

enhancement
help wanted

I am opening this issue as a notification because `conos` is listed [here](https://cran.r-project.org/web/packages/Seurat/index.html) as a package that relies (depends/imports/suggests) on Seurat. As you may know, we recently released Seurat v5...

help wanted

Working with multi-modal data (e.g., 'CITE-seq + scRNA-seq' or 'TCR-seq + scRNA-seq') often produces joint dimensionality reductions (e.g., [MOFA2](https://github.com/bioFAM/MOFA2), [mvTCR](https://www.biorxiv.org/content/10.1101/2021.06.24.449733v2.full) or [totalVI](https://docs.scvi-tools.org/en/stable/tutorials/notebooks/totalVI_reference_mapping.html)). However, most integration methods can't work with those...

enhancement
help wanted

HI, Thanks a lot for supporting CONOS! I am back to using this great tool and try now function getPerCellTypeDE. It looks very promising but I cannot find the way...