Cannot find layers in this seurat object

WebFeb 25, 2024 · To remove an Assay from a Seurat object, please set the assay as NULL using the double bracket [[setter (eg.ch.integrated[['integrated']] <- NULL). We strongly urge users to not rely on calling slots directly using @, as this doesn't take care of all references to the underlying data.For more details about the getters and setters, please see our … WebOct 27, 2024 · I am grateful if someone could help using csv file to load the UMAP/tSNE coordinate from Seurat object (rds file) to the anndata object (adata) in python. I used a stupid way but it worked: 1- save the rds file to loom file. 2- read the loom file: adataTemp = scv.read('seurat.loom') 3- put the umap back to adata:

as.loom() cannot transform both

WebDec 18, 2024 · Error: Cannot find 'umap' in this Seurat object. I have tried renaming and reinstalling umap-learn with reticulate::py_install(packages = 'umap-learn') however this isn't working, I am using python version 3.8, … greers ferry camping arkansas https://segecologia.com

Errors while adding MetaData · Issue #935 · satijalab/seurat

WebJun 25, 2024 · The text was updated successfully, but these errors were encountered: WebAug 16, 2024 · Help with error: Cannot find 'Group' in this Seurat object #4 Open sjspielman opened this issue on Aug 16, 2024 · 4 comments on Aug 16, 2024 Sign up for free to join this conversation on GitHub . Already have an account? Sign in to comment Assignees No one assigned Labels None yet Projects None yet Milestone No milestone … WebThe concept of global objects in Seurat is designed as an extension to the assay-centric nature of objects. In Seurat, each assay is considered to be one experiment or measurement of data for a common group of cells. These assays are then used to generate working summaries, such as reduced dimension space or nearest-neighbor graphs. focal brand speakers

how to calculate spliced and unspliced counts in seurat object #39 - GitHub

Category:Cannot run PCA on integrated data · Issue #3589 · satijalab/seurat

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Cannot find layers in this seurat object

Import gene list to Seurat to define cell types

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