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() ). WebJan 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 …
Cannot find layers in this seurat object
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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. WebJul 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.
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. 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 …
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, … 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 …
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 …
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 ... cif insyteWebJun 25, 2024 · The text was updated successfully, but these errors were encountered: cif insyte instalacionesWebNov 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 dharoya pharmaceuticals pvt. ltdWebFeb 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 … cif insyte instalaciones saWebOct 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: cif interboxWebJul 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). : cif interbiakWeblabels. 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 ... c if int