![]() Traditional analysis methods, based on manual observation and selection of the clusters in 2D scatter-plots, is becoming increasingly difficult to apply on data of such complexity: for high-dimensional data, this procedure is extremely laborious, and the results often carry researcher or analysis bias . The samples collected in recent studies often contain millions of measured cells (events), resulting in large and high-dimensional datasets. Mass cytometry and spectral cytometry have enabled cells to be stained with >40 different markers to discover cellular differences under multiple conditions. Advances in single-cell technologies, such as mass cytometry, single-cell RNA sequencing, and spectral flow cytometry , provide deep and comprehensive insights into the complex mechanism of cellular systems, such as immune cells in blood, tumor cells and their microenvironments, and various microbiomes, including single-celled marine life ecosystems.
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