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Error in base::colSums(x, na.rm = na.rm, dims = dims, ...) : 'x' must be an array of at least two dimensions
Hello,
Thank you for developing so nice software!
Thank you in advance for great help!
Best,
Yue
> cellchat <- computeNetSimilarityPairwise(cellchat, type = "functional")
Compute signaling network similarity for datasets 1 2
> cellchat <- netEmbedding(cellchat, type = "functional")
Manifold learning of the signaling networks for datasets 1 2
> cellchat <- netEmbedding(cellchat, umap.method="uwot",type = "functional")
Manifold learning of the signaling networks for datasets 1 2
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by ‘spam’
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by ‘spam’
> cellchat <- netEmbedding(cellchat, umap.method="umap-learn",type = "functional")
Manifold learning of the signaling networks for datasets 1 2
> cellchat <- netClustering(cellchat, method="umap-learn", type = "functional")
Classification learning of the signaling networks for datasets 1 2
> cellchat <- netClustering(cellchat, method="uwot", type = "functional")
Classification learning of the signaling networks for datasets 1 2
> netVisual_embedding(cellchat, type = "functional", label.size = 3.5)
Error in base::colSums(x, na.rm = na.rm, dims = dims, ...) :
'x' must be an array of at least two dimensions
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