针对您提出的“error: cannot find 'umap' in this seurat object”问题,这里有几个可能的解决方案和检查步骤,帮助您解决这个问题: 确认'umap'是否已正确安装在环境中: 虽然UMAP通常作为Seurat包的一部分自动安装,但确保您的R环境中已安装并加载了Seurat包。您可以通过以下代码来安装和加载Seurat包: R if (!requi...
改为umap即可
DimPlot(seurat, group.by = "Type") + NoLegend() + scale_color_manual(values=colorblind_vector(2)) It gives me the following error: Error: Cannot find 'Type' in this Seurat object (Indeed I can't find "Type" in the object metadata) ...
Error in DefaultAssay<-.Seurat(object = tmp, value = assay) : Cannot find assay SCT or When I try to see the cluster,=: DimPlot(object, reduction = "umap") The error: Error: Cannot find 'SCT' in this Seurat object What should I do? Thank you :) Collaborator saketkc commented Jul...
The package version of Seurat is 3.0.2 I tried pip install umap-learn and even library("reticulate") use_condaenv(condaenv="Renv", conda="/Users/user/anaconda3/bin/conda") All showed umap is installed. But it still showed that it can not find umap. ...
Hello! I am wanting to run AddModuleScore() to an integrated dataset (I used the non-SCTransform pipeline), but it returns the following error: Error in sample.int(length(x), size, replace, prob) : cannot take a sample larger than the po...
An object of class Seurat 3000 features across 59824 samples within 1 assay Active assay: integrated (3000 features) 2 dimensional reductions calculated: pca, umap moe[['integrated']] Assay data with 3000 features for 59824 cells Top 10 variable features: ...