… for modeling high-dimensional cytometric data directly, … concept in statistics or in modeling
flow cytometric data (5–9)… models ideally suited for directly modeling flow cytometric data, (ii) …

… century ago, flow cytometry has been a major tool for single-cell analysis, fueling advances
… multidimensional flow cytometry data. The first reports on automated cytometry data analysis …

… flow cytometry analysis: visualization of high-dimensional cytometry data and the automated
… an in-depth overview of visualization methods for high-dimensional cytometry data analysis. …

… The field is therefore slowly moving toward more automated … in the field of computational
flow cytometry, in such a way that … Downstream statistical analysis will identify these deviations, …

… and automate the analysis of high-dimensional cytometric datasets. As a prerequisite for
interpretation of such data, … Flow cytometry (FC) offers a rapid quantification of multidimensional …

… methods to analyze cytometry data. Most existing algorithms for flow cytometry data analysis
… tools for analyzing CyTOF data: viSNE and automatic classification of cellular expression by …

… tools in discovery mode is especially notable in facilitating the interpretation of high
dimensional (>30) data, as the data can be reduced and visualized in two dimensions. These tools …

… analysis. It thus facilitates application of flow cytometry to new biological and clinical
problems… To facilitate pipelining with standard bioinformatic applications such as high-dimensional …

… dataset (FR-FCM-Z3WR) are used to demonstrate the workflow step by step, providing any
researcher the tools to apply automated analysis on their own spectral flow cytometry data. R …

… Both mass and spectral flow cytometry have led to an … basic concepts in high-dimensional
data analysis and how it can … a serious issue when using automated analyses. Humans can …