Clustering analysis for single-cell RNA sequencing (scRNA-seq) data is essential for characterizing cellular heterogeneity. However, batch information caused by batch effects is often confused with the intrinsic biological information in scRNA-seq data, which makes accurate clustering quite...
A common analysis of single-cell sequencing data includes clustering of cells and identifying differentially expressed genes (DEGs). How cell clusters are defined has important consequences for downstream analyses and the interpretation of results, but is often not straightforward. To address this difficu...
题目 聚类(clustering)分群时在计算群之间距离的方式有哪些?() A.单一连接法(SingleLinkageMethod)B.完全连接法(CompleteLinkageMethod)C.余弦相似度(CosineSimilarity)D.平均连接法(AverageLinkageMethod)E.中心点连接法(CentroidLinkageMethod) 答案 ABDE 解析收藏 反馈 分享...
(Single choice question) Which kind of clustering method uses a multi-resolution grid data structure to quantify the space into a limited number of units? () A. Partition clustering B. Hierarchical clustering C. Grid-based clustering D. Density-based clustering ...
Then, we present an SVNMST clustering algorithm for clustering single-value neutrosophic data based on the generalized distance measure of SVNSs. Finally, two illustrative examples are given to demonstrate the application and effectiveness of the developed approach. 展开 ...
invention relates to a method for reducing the number of results generated by the alignment of a query protein or nucleotide sequence against a target protein or nucleotide sequence by an alignment algorithm, the method comprising the step of combining two or more alignment results into a single ...
Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. It provides a unique opportunity to jointly analyze multimodal data at the single-cell level for the identification of distinct cell types. A correct clustering result is...
Cell heterogeneity analysis is an important and urgent task in single cell data research. Numerous cell type identification methods have been proposed to address the issue. Due to the high rate of dropout and complex biological background, it is still a challenging task to obtain the accurate clu...
Disclosed herein is a computer system provided with a mechanism for connecting a single port disk to an active server and the disk to a standby server when... 上原 敬太郎,吉田 大輔,對馬 雄次,... 被引量: 0发表: 2003年 Method of improving the availability of a computer clustering system...
jointDIMMSCis developed as an extension of DIMMSC, which assumes full indenpendency between single cell RNA and surface protein data. We construct the joint likelihood of the two data sources as their product, and use EM algorithm for parameter inference. In practice, the computational speed for...