Cannot find layers in this seurat object
WebMar 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() ). 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 ...
Cannot find layers in this seurat object
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WebJul 2, 2024 · NA in the sparseMatrix after using log normalization. Then when I used , it created a lot of zeros. I guess when feeded this scaled data to , removed columns/rows having variance = 0 and the final matrix was smaller than their expected number of left/right singular vectors. Fyi, this is my data (a Seurat object). : WebJun 25, 2024 · The text was updated successfully, but these errors were encountered:
WebJun 13, 2024 · Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 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 …
WebNov 9, 2024 · New issue No seurat_annotation in seurat Object for my data #5285 Closed Aya-Balbaa opened this issue on Nov 9, 2024 · 2 comments Aya-Balbaa on Nov 9, 2024 timoast completed on Nov 12, 2024 Sign up for free to join this conversation on GitHub . Already have an account? Sign in to comment WebNew data visualization methods in v3.0 - Satija Lab
WebMar 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.
WebAn optional Seurat object; if passes, will return an object with the identities of selected cells set to ident. ident. An optional new identity class to assign the selected cells... Ignored. … inbox sign in hotmailWebOct 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 … inbox sitradWeblabels. A vector of labels for the points; if NULL, will use rownames of the data provided to the plot at the points selected. repel. Use geom_text_repel to create a nicely-repelled labels; this is slow when a lot of points are being plotted. If using repel, set xnudge and ynudge to 0. xnudge, ynudge. Amount to nudge X and Y coordinates of ... inclination\\u0027s adWebDefines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved … inbox sign upWebNov 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 … inclination\\u0027s aeWebJul 19, 2024 · Hello every one! I have 10X Genomics output from multiple runs. From each run, I created a Seurat Object from the output/filtered_gene_bc_matrices/ folders and then merged them into 1 seurat object.. I used the above merged object for all my clustering analysis and have exported this all as an RDS file. inclination\\u0027s akWebJun 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. inbox size