Cluster analysis fully meets this requirement; it groups data into meaningful groups such that both the similarity within a cluster and the dissimilarity between groups are maximized. Thanks to its great usefulness, clustering is used in a broad variety of contexts; this explains its huge appeal ...
These traditional methods often consist of preprocessing, dimensionality reduction, clustering, differential analysis, and manual annotation based on prior knowledge. When subtypes are annotated manually based on a small set of marker genes, the same subtype can sometimes be given a new name in ...
Computational cell type identification is a fundamental step in single-cell omics data analysis. Supervised celltyping methods have gained increasing popularity in single-cell RNA-seq data because of the superior performance and the availability of high-quality reference datasets. Recent technological advan...
scMayoMap is at the downstream of a pre-processing, clustering, cluster marker identification. It takes the cluster marker gene list as input and returns the cell type prediction results in a plot and the mapped gene list Full size image Identification of potential marker genes for each cluster...
Clusters-Features : a Python module to evaluate the quality of clustering Made during an internship for iCube in Strasbourg, FR. The full report in French is available here : https://drive.google.com/file/d/1kkyCruqZeHsG30pGX1YvkyuHXZfx-BOf/ This package is made for unsupervised learning...
Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression. However, we found that different data
The main objective of GEPFCM is to determine accurate cluster centers of noisy data by generalizing entropy c-means (ECM) combined with PFCM. Fuzzy clustering algorithms often consider the role of feature components to be the same. Usually, in remote sensing image analysis, different feature ...
Describe the bug I already have a set of genes that vary in some interesting way across the clusters. I would like to use find_gene_modules() to group them into using Louvain community analysis. I am given the error: Error in leidenbase:...
ClusterMatch aligns single-cell RNA-sequencing data at the multi-scale cluster level via stable matching MOTIVATION. Unsupervised clustering of single-cell RNA sequencing (scRNA-seq) data holds the promise of characterizing known and novel cell type in various... T Ba,H Miao,L Zhang,... - 《...
For example, scRNA-seq data can be collected in a small number of individuals, to be used as reference for cell type-specific expression. In addition, scRNA-seq data can also be used for eQTL mapping. After clustering and identification of cell types, scRNA-seq data can be converted to ...