Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data

High-dimensional single-cell analysis reveals the immune signature of narcolepsy

(2016) Felix J. Hartmann et al.   JOURNAL OF EXPERIMENTAL MEDICINE

Identification of Vaccine-Altered Circulating B Cell Phenotypes Using Mass Cytometry and a Two-Step Clustering Analysis

(2016) David Pejoski et al.   JOURNAL OF IMMUNOLOGY

Mass cytometry: blessed with the curse of dimensionality

(2016) Evan W Newell et al.   NATURE IMMUNOLOGY

Avoiding common pitfalls when clustering biological data

(2016) T. Ronan et al.   Science Signaling

Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline

(2016) Hao Chen et al.   PLoS Computational Biology

Avoiding common pitfalls when clustering biological data

(2016) T. Ronan et al.   Science Signaling

Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium

(2016) Greg Finak et al.   Scientific Reports

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

(2015) Jacob H. Levine et al.   CELL

A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

(2015) Nima Aghaeepour et al.   CYTOMETRY PART A

FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

(2015) Sofie Van Gassen et al.   CYTOMETRY PART A

immunoClust-An automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets

(2015) Till Sörensen et al.   CYTOMETRY PART A

The end of gating? An introduction to automated analysis of high dimensional cytometry data

(2015) Florian Mair et al.   EUROPEAN JOURNAL OF IMMUNOLOGY

Algorithmic Tools for Mining High-Dimensional Cytometry Data

(2015) Cariad Chester et al.   JOURNAL OF IMMUNOLOGY

Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data

(2015) Kirsten E. Diggins et al.   METHODS

Orchestrating high-throughput genomic analysis with Bioconductor

(2015) Wolfgang Huber et al.   NATURE METHODS

Comparing the performance of biomedical clustering methods

(2015) Christian Wiwie et al.   NATURE METHODS

SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 2: Biological evaluation

(2014) Tim R. Mosmann et al.   CYTOMETRY PART A

High-dimensional analysis of the murine myeloid cell system

(2014) Burkhard Becher et al.   NATURE IMMUNOLOGY

OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis

(2014) Greg Finak et al.   PLoS Computational Biology

Frequency determination of rare populations by flow cytometry: A hematopoietic stem cell perspective

(2013) Alexandra Rundberg Nilsson et al.   CYTOMETRY PART A

Critical assessment of automated flow cytometry data analysis techniques

(2013) Nima Aghaeepour et al.   NATURE METHODS

Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE)

(2013) K. Shekhar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and density peak finding

(2012) Y. Ge et al.   BIOINFORMATICS

FlowRepository: A resource of annotated flow cytometry datasets associated with peer-reviewed publications

(2012) Josef Spidlen et al.   CYTOMETRY PART A

A deep profiler's guide to cytometry

(2012) Sean C. Bendall et al.   TRENDS IN IMMUNOLOGY

Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

(2011) Peng Qiu et al.   NATURE BIOTECHNOLOGY

Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

(2011) S. C. Bendall et al.   SCIENCE

Data reduction for spectral clustering to analyze high throughput flow cytometry data

(2010) Habil Zare et al.   BMC BIOINFORMATICS

Rapid cell population identification in flow cytometry data

(2010) Nima Aghaeepour et al.   CYTOMETRY PART A

Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data

(2010) Yu Qian et al.   CYTOMETRY PART B-CLINICAL CYTOMETRY

flowClust: a Bioconductor package for automated gating of flow cytometry data

(2009) Kenneth Lo et al.   BMC BIOINFORMATICS

Clustering high-dimensional data

(2009) Hans-Peter Kriegel et al.   ACM Transactions on Knowledge Discovery from Data