FloReMi: Flow density survival regression using minimal feature redundancy

gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data

(2015) Dong Ling Tong et al.   CYTOMETRY PART A

Coordinate Descent Methods for the Penalized Semiparametric Additive Hazards Model

(2015) Anders Gorst-Rasmussen et al.   Journal of Statistical Software

Enhanced flowType/RchyOptimyx: a Bioconductor pipeline for discovery in high-dimensional cytometry data

(2014) K. O'Neill et al.   BIOINFORMATICS

flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification

(2014) Mehrnoush Malek et al.   BIOINFORMATICS

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

Automated identification of stratifying signatures in cellular subpopulations

(2014) Robert V. Bruggner et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays*

(2012) Nima Aghaeepour et al.   BIOINFORMATICS

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

(2012) Y. Ge et al.   BIOINFORMATICS

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

(2011) Peng Qiu et al.   NATURE BIOTECHNOLOGY

Misty Mountain clustering: application to fast unsupervised flow cytometry gating

(2010) Istvan P Sugar et al.   BMC BIOINFORMATICS

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

(2010) Habil Zare et al.   BMC BIOINFORMATICS

OMIP-001: Quality and phenotype of Ag-responsive human T-cells

(2010) Yolanda D. Mahnke et al.   CYTOMETRY PART A

Rapid cell population identification in flow cytometry data

(2010) Nima Aghaeepour et al.   CYTOMETRY PART A

Good cell, bad cell: Flow cytometry reveals T-cell subsets important in HIV disease

(2010) Pratip K. Chattopadhyay et al.   CYTOMETRY PART A

Immunologic and Virologic Events in Early HIV Infection Predict Subsequent Rate of Progression

(2009) Anuradha Ganesan et al.   JOURNAL OF INFECTIOUS DISEASES

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics

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

(2008) Kenneth Lo et al.   CYTOMETRY PART A