Analyzing high-dimensional cytometry data using FlowSOM

Katrien Quintelier, Artuur Couckuyt, Annelies Emmaneel, Joachim Aerts, Yvan Saeys, Sofie Van Gassen

Published: 2021-06-24 DOI: 10.1038/s41596-021-00550-0

FlowSOM

Cytometry Data Analysis

High-Dimensional Data

Unsupervised Clustering

R Protocol

AI 解读

Supplementary information

Supplementary Information

Supplementary Fig. 1 and Supplementary Note.

Reporting Summary

Author Correction: Full-length sequencing of circular DNA viruses and extrachromosomal circular DNA using CIDER-Seq

Generation of heart-forming organoids from human pluripotent stem cells

Design and fabrication of wearable electronic textiles using twisted fiber-based threads

Activation of mechanoluminescent nanotransducers by focused ultrasound enables light delivery to deep-seated tissue in vivo

Chromatin accessibility profiling by ATAC-seq

Deoxyfluorination of phenols for chemoselective18F-labeling of peptides

Author Correction: cfSNV: a software tool for the sensitive detection of somatic mutations from cell-free DNA

Human primordial germ cell-like cells specified from resetting precursors develop in human hindgut organoids

An inexpensive semi-automated sample processing pipeline for cell-free RNA extraction

Application of CHyMErA Cas9-Cas12a combinatorial genome-editing platform for genetic interaction mapping and gene fragment deletion screening

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Analyzing high-dimensional cytometry data using FlowSOM

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