Open MariaRosariaNucera opened 3 years ago
Hi, I have the same problem,have you solved it? Thanks
Hi, did any of you find a solution to this problem? Thanks
yes I just copied info from the seurat obj like this: (where cds_seur is the output of new_cell_data_set(matrix,cell_metadata = cell_metadata, gene_metadata = gene_annotation))
reducedDim(cds_seur, type = "PCA") <- your_seurat_ob@reductions$pca@cell.embeddings cds_seur@preprocess_aux$prop_var_expl <- your_seurat_ob@reductions$pca@stdev cds_seur@int_colData@listData$reducedDims$UMAP <- your_seurat_ob@reductions$umap@cell.embeddings cds_seur@reduce_dim_aux@listData[["UMAP"]] <-your_seurat_ob@reductions[["umap"]]@cell.embeddings cds_seur@preprocess_aux$gene_loadings <- your_seurat_ob@reductions[["pca"]]@feature.loadings cds_seur@clusters$UMAP_so$clusters <- your_seurat_ob@meta.data$your_clusters
Hi,
when I try this: "cds_seur@preprocess_aux$prop_var_expl <- your_seurat_ob@reductions$pca@stdev", it raises error for "preprocess_aux".
I could not find a slot for "preprocess_aux" in monocle3 cds object.
and by the way; I am trying to use it from Seurat not Scanpy.
basically as bellow:
# monocle3 function
gene_annotation = as.data.frame(rownames(my.seurat.obj@assays$RNA@counts))
colnames(gene_annotation) = "gene_short_name"
rownames(gene_annotation) = gene_annotation$gene_short_name
cds <- new_cell_data_set(
my.seurat.obj@assays$RNA@counts,
cell_metadata = my.seurat.obj@meta.data,
gene_metadata = gene_annotation
)
cds <- preprocess_cds(cds, num_dim = 30)
cds <- reduce_dimension(cds)
cds <- cluster_cells(cds)
cds <- learn_graph(cds)
cds <- order_cells(cds) # this step requires interactive selection for ordering the cells.
now if I try the following: `
cds_from_seurat = cds
#cds_from_seurat@reduce_dim_aux@listData$seuUMAP = my.seurat.obj@reductions$umap@cell.embeddings
cds_from_seurat@reduce_dim_aux@listData[["UMAP"]] <- my.seurat.obj@reductions$umap@cell.embeddings #seurat@reductions[["umap"]]@cell.embeddings
### Assign feature loading for downstream module analysis
cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings
the error is as following:
Error in cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings:
no slot of the name "preprocess_aux" for this object of the class "cell_data_set"
if I try the above:
reducedDim(cds_from_seurat, type = "PCA") <- my.seurat.obj@reductions$pca@cell.embeddings
cds_from_seurat@int_colData@listData$reducedDims$UMAP <- my.seurat.obj@reductions$umap@cell.embeddings
cds_from_seurat@reduce_dim_aux@listData[["UMAP"]] <-my.seurat.obj@reductions[["umap"]]@cell.embeddings
cds_from_seurat@clusters$UMAP_so$clusters <- my.seurat.obj@meta.data$your_clusters
cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings
cds_from_seurat@preprocess_aux$prop_var_expl <- my.seurat.obj@reductions$pca@stdev
I only get error from: cds_from_seurat@preprocess_aux
and by the way; I am trying to use it from Seurat not Scanpy.
basically as bellow:
# monocle3 function gene_annotation = as.data.frame(rownames(my.seurat.obj@assays$RNA@counts)) colnames(gene_annotation) = "gene_short_name" rownames(gene_annotation) = gene_annotation$gene_short_name cds <- new_cell_data_set( my.seurat.obj@assays$RNA@counts, cell_metadata = my.seurat.obj@meta.data, gene_metadata = gene_annotation ) cds <- preprocess_cds(cds, num_dim = 30) cds <- reduce_dimension(cds) cds <- cluster_cells(cds) cds <- learn_graph(cds) cds <- order_cells(cds) # this step requires interactive selection for ordering the cells.
now if I try the following: `
cds_from_seurat = cds #cds_from_seurat@reduce_dim_aux@listData$seuUMAP = my.seurat.obj@reductions$umap@cell.embeddings cds_from_seurat@reduce_dim_aux@listData[["UMAP"]] <- my.seurat.obj@reductions$umap@cell.embeddings #seurat@reductions[["umap"]]@cell.embeddings ### Assign feature loading for downstream module analysis cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings
the error is as following:
Error in cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings: no slot of the name "preprocess_aux" for this object of the class "cell_data_set"
if I try the above:
reducedDim(cds_from_seurat, type = "PCA") <- my.seurat.obj@reductions$pca@cell.embeddings cds_from_seurat@int_colData@listData$reducedDims$UMAP <- my.seurat.obj@reductions$umap@cell.embeddings cds_from_seurat@reduce_dim_aux@listData[["UMAP"]] <-my.seurat.obj@reductions[["umap"]]@cell.embeddings cds_from_seurat@clusters$UMAP_so$clusters <- my.seurat.obj@meta.data$your_clusters cds_from_seurat@preprocess_aux$gene_loadings <- my.seurat.obj@reductions[["pca"]]@feature.loadings cds_from_seurat@preprocess_aux$prop_var_expl <- my.seurat.obj@reductions$pca@stdev
I only get error from:
cds_from_seurat@preprocess_aux
can you show me the structure of your cds?
here it is:
> cds
class: cell_data_set
dim: 19035 1328
metadata(2): cds_version citations
assays(1): counts
rownames(19035): fgfr1op2 znf1114 ... CABZ01113815.1 CABZ01090361.1
rowData names(1): gene_short_name
colnames(1328): her.les_AAACCCACACTCATAG her.les_AAACGAAAGTAACGAT ...
her.nai_TTTGGAGAGAGGGTGG her.nai_TTTGGAGGTGGCATCC
colData names(13): orig.ident nCount_RNA ... integrated_snn_res.2.5
Size_Factor
reducedDimNames(2): PCA UMAP
mainExpName: NULL
altExpNames(0):
> cds_from_seurat
class: cell_data_set
dim: 19035 1328
metadata(2): cds_version citations
assays(1): counts
rownames(19035): fgfr1op2 znf1114 ... CABZ01113815.1 CABZ01090361.1
rowData names(1): gene_short_name
colnames(1328): her.les_AAACCCACACTCATAG her.les_AAACGAAAGTAACGAT ...
her.nai_TTTGGAGAGAGGGTGG her.nai_TTTGGAGGTGGCATCC
colData names(13): orig.ident nCount_RNA ... integrated_snn_res.2.5
Size_Factor
reducedDimNames(2): PCA UMAP
mainExpName: NULL
altExpNames(0):
found the solution here: 2833. Almost same, except I skipped adding;
cds_from_seurat@preprocess_aux
steps.
Hi,
I have the same error. Error in cds_from_seurat@preprocess_aux$gene_loadings <-seurat@reductions[["pca"]]@feature.loadings : no slot of name "preprocess_aux" for this object of class "cell_data_set"
Any suggestions?
Thank you
Hello @ctrapnell, thank you for the useful toolkit, I saw in previous issues that some people asked how to use their Seurat UMAP for the analysis since Monocle3 generates a completetly different figure. I have the same problem but I wanted to use the UMAP I generated using Scanpy. Do you have any suggestions? Thank :)