CellChat一个报错

问题出在这里：
cellchat <- netClustering(cellchat, type = "functional")

修改为cellchat <- netClustering(cellchat, type = "functional", do.parallel = FALSE)

就ok了

——————分割线——————

library(future)

plan("multisession", workers = 4)  # 或者设置您想要的核心数

cellchat <- computeNetSimilarity(cellchat, type = "functional")

cellchat <- netEmbedding(cellchat, type = "functional")

#> Manifold learning of the signaling networks for a single dataset

cellchat <- netClustering(cellchat, type = "functional")

#> Classification learning of the signaling networks for a single dataset

# Visualization in 2D-space

netVisual_embedding(cellchat, type = "functional", label.size = 3.5)

Manifold learning of the signaling networks for a single dataset Classification learning of the signaling networks for a single dataset