Cannot find lsi in this seurat object
WebOct 26, 2024 · You can extract the necessary values and add them directly the plot as a second layer using plot + geom_text().This is very similar to the inner workings of the DimPlot function with label = TRUE but allows you to use anything as label. # I use dplyr v1.0.2 for all data frame manipulations # First the cluster annotation and the tsne … WebSeurat object to use as the reference. query. Seurat object to use as the query. normalization.method. Name of normalization method used: LogNormalize or SCT. ... If reduction = "lsiproject", the stored LSI dimension reduction in the reference object is used to project the query dataset onto the reference.
Cannot find lsi in this seurat object
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WebApr 8, 2024 · Cannot find 'pca' in this Seurat object · Issue #2834 · satijalab/seurat · GitHub. satijalab / seurat Public. Notifications. Fork 814. Star 1.8k. Code. Issues 225. Pull requests 18. Discussions.
WebMar 27, 2024 · Can't open a .lsi file? When you double-click a file to open it, Windows examines the filename extension. If Windows recognizes the filename extension, it … WebAug 29, 2024 · Error: Cannot add a different number of cells than already present In addition: Warning message: In storage.mode(from) <- "double" : NAs introduced by coercion. I don't know how to interpret this. Afterwards, I am able to apply SCtransform, LSI, and UMAP on the atac data, but when I get to FindTransferAnchors I get the following error:
WebDec 18, 2024 · Hi, I'm excited to use the new integration with UMAP but I can't get it to work. Below is the R code and verification that it is installed. > scRNAseq.integrated <- RunUMAP(object = scRNAseq.integrated, reduction = "pca", dims = 1:30) Er... 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
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.
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, … greater new hyde park chamber of commerceWebobject.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. greater new jersey umc breakthroughWebJul 2, 2024 · 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). : stefanhal mentioned this issue on Apr 24, 2024. IntegrateData results in cells with ... flint locationWebNov 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. flint locations new worldWebDec 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: flintlock and powderhorn chapter nsdarWebIn 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 … greater new jersey umcWebAug 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 flintlock breech plug