WebMar 22, 2024 · CytoTree provides multiple methods for clustering, including SOM (by default), kmeans and many others. The second step is dimensionality reduction for both … WebMar 22, 2024 · CytoTree provides multiple computational functionalities that integrate most of the commonly used techniques in unsupervised clustering and dimensionality …
Chapter 8 About CytoTree CytoTree Tutorial - GitHub Pages
WebMar 22, 2024 · CytoTree provides multiple computational functionalities that integrate most of the commonly used techniques in unsupervised clustering and dimensionality … WebMar 22, 2024 · CytoTree provides multiple computational functionalities that integrate most of the commonly used techniques in unsupervised clustering and dimensionality reduction and, more importantly, support... fit count crossword clue
(PDF) CytoTree: an R/Bioconductor package for …
WebThe slots som and cluster contain clustering information and parameter of clustering module, whereas pca.sdev, pca.value, pca.score, tsne.value, dm, umap.value store the running parameters and results of dimensionality reduction module. The network built by MST is stored in network slots. WebSep 26, 2024 · 1 I want to create a CytoTree CYT object in R to analyse my .FCS files. When I am using the Quick start code in the package description, I will always get an error when running the createCYT () function that says: Error in createCYT (raw.data = fcs.data, normalization.method = "log") : 2024-09-26 15:46:26 meta.data must be a data.frame runCluster: Specific Clustering Method Toolkits In CytoTree: A Toolkit for Flow And Mass Cytometry Data Description Usage Arguments Value See Also Examples View source: R/cluster.R Description Compute a specific clustering using the combined flow cytometry data. "som" SOM, "hclust" hclust , "clara" clara, "phenograph", "kmeans" kmeans are provided. can hair be dyed white