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

SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 1: Algorithm design

(2014) Iftekhar Naim et al.   CYTOMETRY PART A

Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data

(2014) Saumyadipta Pyne et al.   PLoS One

viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

(2013) El-ad David Amir et al.   NATURE BIOTECHNOLOGY

Critical assessment of automated flow cytometry data analysis techniques

(2013) Nima Aghaeepour et al.   NATURE METHODS

Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples

(2013) Andrew Cron et al.   PLoS Computational Biology

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

Rapid cell population identification in flow cytometry data

(2010) Nima Aghaeepour et al.   CYTOMETRY PART A

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

(2009) Kenneth Lo et al.   BMC BIOINFORMATICS

Automated high-dimensional flow cytometric data analysis

(2009) S. Pyne et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Automated gating of flow cytometry data via robust model-based clustering

(2008) Kenneth Lo et al.   CYTOMETRY PART A