Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data.

Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data. Methods (2015) 1.06

Mapping cell populations in flow cytometry data for cross-sample comparison using the Friedman-Rafsky test statistic as a distance measure. Cytometry A (2015) 0.77

MEMO: multi-experiment mixture model analysis of censored data. Bioinformatics (2016) 0.75

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A (2005) 167.46

Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science (2011) 15.45

Seventeen-colour flow cytometry: unravelling the immune system. Nat Rev Immunol (2004) 7.37

Fluorescent cell barcoding in flow cytometry allows high-throughput drug screening and signaling profiling. Nat Methods (2006) 5.25

Automated gating of flow cytometry data via robust model-based clustering. Cytometry A (2008) 5.10

Automated high-dimensional flow cytometric data analysis. Proc Natl Acad Sci U S A (2009) 4.91

Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates. Cancer Cell (2008) 4.06

Critical assessment of automated flow cytometry data analysis techniques. Nat Methods (2013) 3.30

Mapping normal and cancer cell signalling networks: towards single-cell proteomics. Nat Rev Cancer (2006) 3.24

flowClust: a Bioconductor package for automated gating of flow cytometry data. BMC Bioinformatics (2009) 2.58

Data analysis in flow cytometry: the future just started. Cytometry A (2010) 2.18

B-cell signaling networks reveal a negative prognostic human lymphoma cell subset that emerges during tumor progression. Proc Natl Acad Sci U S A (2010) 2.10

A mixture model with random-effects components for clustering correlated gene-expression profiles. Bioinformatics (2006) 1.85

Combining Mixture Components for Clustering. J Comput Graph Stat (2010) 1.65

Per-channel basis normalization methods for flow cytometry data. Cytometry A (2010) 1.64

Allelic variant in CTLA4 alters T cell phosphorylation patterns. Proc Natl Acad Sci U S A (2007) 1.42

Analyzing multivariate flow cytometric data in aquatic sciences. Cytometry (1992) 1.42

Predicting relapse in patients with medulloblastoma by integrating evidence from clinical and genomic features. J Clin Oncol (2011) 1.36

Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples. PLoS Comput Biol (2013) 1.35

Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions. Biostatistics (2010) 1.25

Predicting and controlling the reactivity of immune cell populations against cancer. Mol Syst Biol (2009) 0.88