Cannot find layers in this seurat object
WebNov 14, 2024 · I am trying to add labels to my data and I am running into issues. I am trying to set up all the metadata in an Excel sheet and import that into Seurat. I am looking to add labels like patient ID, HPV Status etc. Here is what I have tried so far: • Once I import my data and create a Seurat object, I exported the [email protected] table. WebApr 30, 2024 · PadNames: Add names for unnamed or partially named objects; PB: Create a progress bar; RandomName: Generate a random string of characters; ReadH5: Load data from an HDF5 File; RegisterSCDisk: Get and Register 'scdisk' Subclasses; SaveH5Seurat: Save a 'Seurat' object to an h5Seurat file; SaveLoom: Save a 'Seurat' object to a loom file
Cannot find layers in this seurat object
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WebNov 10, 2024 · Error: Cannot find 'map' in this Seurat object Execution halted The text was updated successfully, but these errors were encountered: All reactions. Copy link Collaborator. yuhanH commented … WebSaving a dataset. Saving a Seurat object to an h5Seurat file is a fairly painless process. All assays, dimensional reductions, spatial images, and nearest-neighbor graphs are …
WebMay 11, 2024 · Hi @skim245, as far as I know, you have to build the raw loom file from your bam file first, in order to be able to retrieve the spliced and unspliced reads.. Does this mean we have to create the loom file for the RNA velocity analysis and … WebMar 14, 2024 · When I create the Seurat object and load the metadata for it, all of the values in the nCount_RNA are decimal values instead of integers. How should I interpret this? Is there an issue with the data itself or something I can do to work around this? I ask because later on in my analysis, the functions can't seem to find the nCount_RNA object ...
WebJul 7, 2024 · 1. I have a Seurat object of 8 patients. I want to add metadata to that so that I have origin of each cell. At the moment UMAP just shows a bunch of cells while I want to … WebFeb 11, 2024 · object = P2dual, nn.name = "wknn", assay = "RNA", verbose = TRUE ) Warning: The following arguments are not used: reduction.model, return.model, n.neighbors, set.op.mix.ratio, …
WebJun 19, 2024 · Maybe you can try Seurat::AddModuleScore (), then FeaturePlot () and see if some of your B cells are different. After plotting this on GenePlot (), perhaps you can set a cutoff, then assign identities. Alternatively, use your B cell gene list in RunPCA (object, pc.genes = yourgenelist) instead of the usual variable genes.
WebOct 10, 2024 · I created an integrated Seurat object by normalizing and running FindVariableFeatures() on 20 individual samples, then running FindIntegrationAnchors() and IntegrateData(). The integrated dataset is very large (over 100K cells). ... Cannot run PCA on integrated data #3589. Closed jgamache014 opened this issue Oct 10, 2024 · 10 … focal brain injuries areWebMar 28, 2024 · Here, we describe important commands and functions to store, access, and process data using Seurat v5. To demonstrate commamnds, we use a dataset of 3,000 … greers ferry heat and airWebJan 11, 2024 · 1. I am working with a R package called "Seurat" for single cell RNA-Seq analysis and I am trying to remove few genes in seuratobject (s4 class) from slot name … focal bronchial wall thickeningWebTo add the metadata i used the following commands. First I extracted the cell names from the Seurat object. > Cells <- WhichCells (seurat_object) Then I created a list of the morphologically determined cell types using numbers 1-3 this NOTE: the list is much longer but abbreviated as the first 3 here. > MorphCellTypes = c (1,2,3) focal calcified atherosclerotic plaqueWebNew data visualization methods in v3.0 - Satija Lab greers ferry houses for saleWebMar 3, 2024 · Hi, Please run RunPCA() before you do RPCA based integration. Please set your DefaultAssay to the correct assay (the assay you run your RunPCA() ). focal cartilage fissuringWebMar 23, 2024 · Seurat offers two workflows to identify molecular features that correlate with spatial location within a tissue. The first is to perform differential expression based on pre-annotated anatomical regions within the tissue, which may be determined either from unsupervised clustering or prior knowledge. focal car hifi