Binned multinomial logistic regression for integrative cell-type annotation

DOI10.1214/23-aoas1769arXiv2111.12149MaRDI QIDQ6138653

Aaron J. Molstad, Keshav Motwani, Rhonda Bacher

Publication date: 16 January 2024

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

Full work available at URL: https://arxiv.org/abs/2111.12149

zbMATH Keywords

nonconvex optimizationgroup Lassomultinomial logistic regressionintegrative analysissingle-cell genomicscell-type annotation

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• A globally convergent algorithm for nonconvex optimization based on block coordinate update
• Proximal algorithms in statistics and machine learning
• Support union recovery in high-dimensional multivariate regression
• MM Optimization Algorithms
• Model Selection and Estimation in Regression with Grouped Variables
• Integration of survival data from multiple studies
• Dimension Reduction for Integrative Survival Analysis
• A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions

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