fastMNN是MNN的升级版,主要改动是fastMNN采用PCA降维之后的低维空间计算细胞之间的距离,而MNN直接使用原始表达矩阵计算细胞之间的距离,因此分析速度会更快。 MNN的工作原理 先解释一下MNN pairs是什么意思: 首先根据两个批次样本的表达矩阵计算细胞之间的余弦距离(常用来表示单细胞转录特征相似性的度量值,可以在一定程度...
1. fastMNN FastMNN is built upon its more complex predecessor, the Mutual Nearest Neighbors (MNN) algorithm. We'll first discuss MNN (1). a. First and foremost, MNN assumes that data from two batches rest onparallel hyperplanesin a high-dimensional gene expression space (Figure1a). In thi...
· FastMNN方法整合 · scVI方法整合 时间所限,这里只进行了cca、rpca和harmony的整合方法 代码语言:javascript 复制 #4我们有两个seuratv5的对象,进行整合分析---merged_obj<-merge(x=ifnb_list$CTRL,y=ifnb_list$STIM)merged_obj<-NormalizeData(merged_obj)merged_obj<-FindVariableFeatures(merged_obj)m...
) Integration works well until FastMNN. It gives me the error It seems like a bug similar to this was known before? #5329 I tried the FastMNN code edit by useryuanlizhanshibefore. However, it made no difference. I am wondering if anyone has resolved this issue. Thanks,...
remotes::install_github("satijalab/seurat-wrappers", "seurat5") log: Error: package or namespace load failed for ‘SeuratWrappers’ in namespaceExport(ns, exports): undefined exports: [batchelor]{fastMNN} Error: loading failed Execution halted ERROR: loading failed Namespace maybe wrong?
Multiresolution analysis, nearest neighbor classifierperipheral and foveal vision.A Multiresolution Kth Nearest Neighbor Algorithm is develeoped for fast classification of images. This classification algorithm does not use any feature extraction stage, and it is inspired by the multiresolution properties ...
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