WebJan 8, 2015 · When using 2D scatter plots, the number of possible plots increases exponentially with the number of markers and therefore, relevant information that is present in the data might be missed. In this article, we introduce a new visualization technique, called FlowSOM, which analyzes Flow or mass cytometry data using a Self-Organizing … WebMar 20, 2024 · Method to run the FlowSOM clustering algorithm. This function runs FlowSOM on a data.table with cells (rows) vs markers (columns) with new columns for FlowSOM clusters and metaclusters. Output data will be "flowsom.res.original" (for clusters) and "flowsom.res.meta" (for metaclusters). Uses the R packages "FlowSOM" …
phillipcnguyen/CLL-flowsom-mrd - Github
WebJan 8, 2015 · When using 2D scatter plots, the number of possible plots increases exponentially with the number of markers and therefore, relevant information that is … WebFeb 14, 2024 · To generate heatmaps for manual comparison: python -m pyFlowSOM.generate_test_heatmaps. To bump the version and deploy to pypi: Just add the tag which matches the version you want to deploy: git tag v0.1.14 git push --tags. flipbook supermind
Bioconductor - FlowSOM
WebFeb 1, 2024 · Cell population identification is conducted by means of unsupervised clustering using the FlowSOM and ConsensusClusterPlus packages, which together were among the best performing clustering approaches for high-dimensional cytometry data [15]. Notably, FlowSOM scales easily to millions of cells and thus no subsetting of the data is … WebSpectral flow cytometry is an upcoming technique that allows for extensive multicolor panels, enabling simultaneous investigation of a large number of cellular parameters in a single experiment. To fully explore the resulting high-dimensional single cell datasets, high-dimensional analysis is needed, as opposed to the common practice of manual gating in … WebContribute to phillipcnguyen/CLL-flowsom-mrd development by creating an account on GitHub. greater vancouver food banks