Cannot find lsi in this seurat object
WebDec 16, 2024 · Error: Cannot find 'pca' in this Seurat object use the 1st 'so' object (Seurat object) from running the code provided on the UCSC Cell browser website try running PCA directly on the above without running any of the intervening analysis in the vignette. OR: start from the raw data (exprMatrix.tsv.gz) then: WebMar 2, 2024 · Right. It seems that not all individual objects in your pag.combined_batches have ref.umap. Could you find which object doesn't have ref.umap? Additionally, If it is ok for you, i would suggest you send the objects to me and it may be easier for me to find the bugs. my email: [email protected]
Cannot find lsi in this seurat object
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Webobject. An object... Arguments passed to other methods and IRLBA. assay. Name of Assay PCA is being run on. npcs. Total Number of PCs to compute and store (50 by default) rev.pca. By default computes the PCA on the cell x gene matrix. Setting to true will compute it on gene x cell matrix. weight.by.var WebApr 30, 2024 · T0_R.markers <- FindMarkers (immune.combined.sct, assay = "SCT", ident.1 = "naive", ident.2 = "NR", Error in WhichCells.Seurat (object = object, idents = ident.1) : Cannot find the following identities in the object: naive head (x=Idents (object = immune.combined.sct)
WebSeamless interface with Seurat, SeuratWrappers, SeuratDisk, and SeuratData functionality Interoperability with Bioconductor tools Check out the Signac vignettes page for in-depth tutorials. Quick installation setRepositories (ind=1:3) install.packages ("Signac") For full installation instructions see the install page. Getting help
Web#' @slot dir_path_SingCellR_object_files contains the directory name that contains SingCellaR objects from multiple individual sample. #' @slot SingCellR_object_files contains the vector of individual object names. #' @slot Variable.genes contains the list of identified variable genes. Webobject.list: A list of Seurat objects between which to find anchors for downstream integration. assay: A vector of assay names specifying which assay to use when constructing anchors. If NULL, the current default assay for each object is used. reference: A vector specifying the object/s to be used as a reference during integration.
WebIn Seurat, most functions take an object as input and return an object as output. These functions actually run differently depending on the class of the object passed to them. For example, has 3 different modes of operation, depending on the type of …
WebDec 10, 2024 · You can use SelectIntegrationFeatures as you do above to identify features that are consistently variable across datasets. You could also take the union of variable features if you wish. The issue seems to be that you are using the SCT assay as the default reference assay instead of the integrated assay. Labels None yet No milestone flannels fake clothesWebMar 3, 2024 · It is recommended to use RPCA reduction when running FindIntegrationAnchors on large dataset by Seurat authors. However when I do this, I … can self published books become bestsellersWebA list of Seurat objects between which to find anchors for downstream integration. A vector of assay names specifying which assay to use when constructing anchors. If NULL, the … can seller back out of car saleWebPerform integration We then identify anchors using the FindIntegrationAnchors () function, which takes a list of Seurat objects as input, and use these anchors to integrate the two … flannel sew projectsWebPerform integration We then identify anchors using the FindIntegrationAnchors () function, which takes a list of Seurat objects as input, and use these anchors to integrate the two datasets together with IntegrateData (). immune.anchors <- FindIntegrationAnchors (object.list = ifnb.list, anchor.features = features, reduction = "rpca") can seller be at home inspectionWebAug 10, 2024 · I have 9 single cell samples that I combined in a loop for object "pbmc.f" An object of class Seurat 27000 features across 50929 samples within 1 assay Active assay: RNA (27805 features) 2 dimensional reductions calculated: pca, umap flannels free shipping codeWebSeamless interface with Seurat, SeuratWrappers, SeuratDisk, and SeuratData functionality Interoperability with Bioconductor tools Check out the Signac vignettes page for in-depth … flannels first order discount