Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions

DOI10.1214/22-AOAS1631OpenAlexW3080399622MaRDI QIDQ2686038

Francois Ribalet, Sangwon Hyun, Mattias Rolf Cape, Jacob Bien

Publication date: 24 February 2023

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.11251

zbMATH Keywords

clusteringflow cytometryalternating direction method of multipliersexpectation-maximizationphytoplanktonsparse regressiongatingmicrobiomemixture of regressionsocean

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• Bioconductor
• CVX
• flexmix
• glmnet
• flowCore

Cites Work

• Unnamed Item
• Unnamed Item
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• \(\ell_{1}\)-penalization for mixture regression models
• Variable Selection in Finite Mixture of Regression Models
• Mixed Poisson Regression Models with Covariate Dependent Rates

This page was built for publication: Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions