FindClusters Copy to clipboard. 把ei分成相似元素组成的聚类. 返回对应于各个聚类中的ei的vi. 将data分割为n个聚类. 更多信息和选项 范例 打开所有单元 基本范例(4) 找出数值附近的聚类: In[1]:= Out[1]= 找出准确的四个聚类: In[1]:= Out[1]=...
可以用来观察分群结果的包——clustree。 可以把不同resolution的分类结果放在一起展示,通过一个分类树的图,可以看到新的细胞群是由低分辨率状态下哪些细胞组合成的,方便选择合适的resolution参数。 library(clustree) sceList.integrated <- FindClusters(sceList.integrated, resolution = seq(0.4,1.2,by=0.2)) clustree...
Returns a Seurat object where the idents have been updated with new cluster info; latest clustering results will be stored in object metadata under 'seurat_clusters'. Note that 'seurat_clusters' will be overwritten everytime FindClusters is run. 值 返回一个Seurat对象,其中标识已用新的群集信息更新...
* FindClusters.Seurat() * CheckDots() //todo * names() * AddMetaData() //todo * levels() * LogSeuratCommand() //todo * FindClusters.default() * RunModularityClustering() //todo #R代码的尽头通常是C++,这里又出来了 java。 * RunModularityClusteringCpp() #下一节看看 Rcpp 包怎么写。又不...
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首先来说annoy ，annoy全称“Approximate Nearest Neighbors Oh Yeah”，是一种适合实际应用的快速相似查找算法。Annoy 同样通过建立一个二叉树来使得每个点查找时间复杂度是O(log n)，和kd树不同的是，annoy没有对k维特征进行切分。annoy的每一次空间划分，可以看作聚类数为2的KMeans过程。收敛后在产生...
When I was runningFindClusters(algorithm=4), I encountered this Warning. Should I be worried about it? If so, would you mind helping me diagnose this warning? Thank you again for your help. Warning: sparse->dense coercion: allocating vector of size 2.9 GiBWarning in paste(new, collapse =...
clusters, err := store.FindClusters(readTx, store.ByName(store.DefaultClusterName))iferr ==nil&&len(clusters) ==1{ raftConfig = clusters[0].Spec.Raft } })returnraftConfig } 开发者ID:fabianofranz,项目名称:docker,代码行数:10,代码来源:raft.go ...
先设置resolution为大众化的0.5,初步鉴定各分群是什么细胞,观察感兴趣的分群形状是否有继续分群的趋势。 采用clustree可视化不同resolution下各分群的裂变情况 res_used <- c(0.5,0.8,1.0,1.2,1.5) for(i in res_used){ res_tree <- FindClusters(object = sce.mergeTEN, verbose = T, resolution = res_used...
library(Seurat)?FindClusters Description:Identify clustersofcells by a shared nearestneighbor(SNN)modularity optimization based clustering algorithm.First calculate k-nearest neighbors and construct theSNNgraph.Then optimize the modularityfunctionto determine clusters.For a full ...