Seurat change gene name
WebAug 4, 2024 · Mice genes are usually the same as the human ones, but lower case with only the first character as upper ( Sox17 -> SOX17 ). toupper (rownames (mouse_only)) will do the trick. Unfortunately, there are exceptions, and it is always better to relay on information from databases. Webcolnames (seurat_object) provides a vector of cell names in a given Seurat object. Here whatever cell that is in the All_Samples_GeneA_Pos object would be GeneA_Pos and …
Seurat change gene name
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WebFeb 15, 2024 · 1 Answer Sorted by: 0 You have the arguments mixed up. Your keytype is SYMBOL and what you need is ncbi-geneid s (aka ENTREZID (old name)) mapIds (org.Hs.eg.db, keys = genelist$Name, column = "ENTREZID", keytype = …
Web) # S3 method for Seurat RenameIdents(object, ...) # S3 method for Seurat SetIdent(object, cells = NULL, value, ...) # S3 method for Seurat StashIdent(object, save.name = "orig.ident", ...) # S3 method for Seurat droplevels (x, ...) # S3 method for Seurat levels (x) # S3 method for Seurat levels (x) <- value Arguments ... WebApr 1, 2024 · Create volcano plot highlighting significant genes First we will create a volcano plot highlighting all significant genes. We will call genes significant here if they have FDR < 0.01 and a log fold change of 0.58 (equivalent to a fold-change of 1.5). These were the values used in the original paper for this dataset. Hands-on: Create a Volcano …
Web3. I think you are looking to FindAllMarkers function from Seurat. As you said, you just have to define your ident, that have to have the structure of a table (cell names as names and cluster as value): pident=as.factor (clusters) names (pident)=cellNames object1@ident=pident. And then run the FindAllMarkers function: WebDec 2, 2024 · When I need to get a gene list, I would usually do this: #Suppose my Seurat object name is seurat gene_List <- rownames(seurat@data) If you look through the …
Webcolnames (seurat_object) provides a vector of cell names in a given Seurat object. Here whatever cell that is in the All_Samples_GeneA_Pos object would be GeneA_Pos and whatever is not GeneB_Pos. To better control the behavior, you can use a "nested" ifelse (); you can have another ifelse () instead of the "GeneB_Pos" bit above.
WebMar 27, 2024 · Seurat utilizes R’s plotly graphing library to create interactive plots. This interactive plotting feature works with any ggplot2-based scatter plots (requires a … city of henderson moser buildingWebGeneSymbolThesarus :, if several.ok, a named list where each entry is the current symbol found for each symbol provided and the names are the provided symbols. Otherwise, a … don\u0027t let them grind you downWebFeaturePlot is a function in Seurat package. And in the vignette it is written that if we specify parameter do.return = TRUE it should return ggplot2 object. It is not working. My goal here is just to change the title of the plot. In case of violin plot I can do the following: city of henderson mn zoning mapWebNov 15, 2024 · 1 Answer Sorted by: 2 The biomart part worked, it's your left join that fails because there are no common columns, gene_IDs has the ensembl id under "ensembl_gene_id" while your kidney dataframe has it under "gene_id". Also you need to check whether they are gencode or ensembl. don\u0027t let them downWebAug 5, 2024 · Manage code changes Issues. Plan and track work Discussions. Collaborate outside of code Explore; All features ... row.names(matrix_sparse_c) = gene $ new_name # create seurat object: testis_GSE124263.raw <-CreateSeuratObject(counts = matrix_sparse_c, project = dataset, min.cells = 5, min.features = 200) … don\u0027t let them goWebDec 7, 2024 · Seurat object. features: A vector of features to plot, defaults to VariableFeatures(object = object) cells: A vector of cells to plot. group.by: A vector of variables to group cells by; pass 'ident' to group by cell identity classes. group.bar: Add a color bar showing group status for cells. group.colors: Colors to use for the color bar. … don\u0027t let the left handWebJul 20, 2024 · To rename the clusters you can try the following: [email protected]$seurat_clusters <- [email protected]$status However, I think the plotting functions in Seurat do not use the cluster information from [email protected], rather they use information from [email protected] . So, I guess you have to do the following instead: … don\u0027t let them get you down