Bayesian mixture models for cytometry data analysis-Reference-Cited by-同舟云学术

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Bayesian mixture models for cytometry data analysis

Published:2020-10-16 Issue: Volume: Page:
ISSN:1939-5108
Container-title:WIREs Computational Statistics
language:en
Short-container-title:WIREs Comp Stat

Author:

Lin Lin¹^ORCID,Hejblum Boris P²³^ORCID

Affiliation:

1. Department of Statistics Pennsylvania State University University Park Pennsylvania USA

2. University of Bordeaux, INSERM Bordeaux Population Health Research Center U1219, INRIA SISTM Bordeaux France

3. Data Science Division Vaccine Research Institute Créteil France

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1535

Reference86 articles.

1. Model-Based Clustering and Classification for Data Science

2. CPS analysis: Self‐contained validation of biomedical data clustering;Zhang L.;Bioinformatics,2020

3. Critical assessment of automated flow cytometry data analysis techniques;Aghaeepour N.;Nature Methods,2013

4. Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems;Antoniak C. E.;The Annals of Statistics,1974

5. On nomenclature for, and the relative merits of, two formulations of skew distributions;Azzalini A.;Statistics and Probability Letters,2016

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1. Optimal Transport With Relaxed Marginal Constraints;IEEE Access;2021

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