You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Ajouter les métadonnées du projet ArchR (par exemple, clusters, batch, etc.)
seurat_obj@meta.data <- as.data.frame(project_Peaks_RES0.9_subcluster@cellColData)
umap_embeddings <- getEmbedding(ArchRProj = project_Peaks_RES0.9_subcluster, embedding = "UMAP_ATAC", returnDF = TRUE)
head(umap_embeddings)
LSI_ATAC#UMAP_Dimension_1 LSI_ATAC#UMAP_Dimension_2
First_try_multiomic_archr#GCGGGTTTCGCTATAA-1 -1.1732380 -0.65935683
First_try_multiomic_archr#GCGAGTGAGGAGTCTT-1 -2.1469619 0.02576101
First_try_multiomic_archr#GTTACCTGTTAACAGT-1 2.5640571 -1.99734956
First_try_multiomic_archr#CGGGACAAGTACCGCA-1 -1.2808077 -1.08204150
First_try_multiomic_archr#AGTGTGGCAATAAGCA-1 -0.4350121 -1.20366609
First_try_multiomic_archr#GGAGGTTAGAGGAGGA-1 1.0420330 -2.85625717
seurat_obj[[umap_embeddings]] <- CreateDimReducObject(embeddings = umap_embeddings, key = "LSI", assay = "RNA")
Error in validObject(.Object) :
invalid class “DimReduc” object: invalid object for slot "cell.embeddings" in class "DimReduc": got class "data.frame", should be or extend class "matrix"
In addition: Warning message:
Keys should be one or more alphanumeric characters followed by an underscore, setting key from LSI to LSI_
The text was updated successfully, but these errors were encountered:
Hi @A-legac45! Thanks for using ArchR! Lately, it has been very challenging for me to keep up with maintenance of this package and all of my other
responsibilities as a PI. I have not been responding to issue posts and I have not been pushing updates to the software. We are actively searching to hire
a computational biologist to continue to develop and maintain ArchR and related tools. If you know someone who might be a good fit, please let us know!
In the meantime, your issue will likely go without a reply. Most issues with ArchR right not relate to compatibility. Try reverting to R 4.1 and Bioconductor 3.15.
Newer versions of Seurat and Matrix also are causing issues. Sorry for not being able to provide active support for this package at this time.
Hi, @rcorces @jeffmgranja @jgranja24 @keyuxi
I would llke to copy my entire ARCHR project cluster, embedding, umap ... into a seurat object but I do not succed to copy embeddings
I try many things but without success :
such as
code
Extraire toutes les matrices disponibles
all_matrices <- lapply(matrices, function(mat) {
getMatrixFromProject(project_Peaks_RES0.9_subcluster, useMatrix = mat, binarize = TRUE)
})
Nommer les matrices extraites pour identification
names(all_matrices) <- matrices
Extraire tous les embeddings disponibles
embeddings <- c("UMAP_ATAC", "UMAP_RNA") # Ajouter d'autres embeddings si disponibles
all_embeddings <- lapply(embeddings, function(emb) {
getEmbedding(project_Peaks_RES0.9_subcluster, embedding = emb)
})
TEST POUR UNE MATRIX
geneScoreMatrixtest <- assay(geneScoreMatrix)
The text was updated successfully, but these errors were encountered: