Integrative network learning for multimodality biomarker data

DOI10.1214/20-AOAS1382zbMath1475.62270OpenAlexW3136491838MaRDI QIDQ2233137

Donglin Zeng, Yuanjia Wang, Shanghong Xie

Publication date: 14 October 2021

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

Full work available at URL: https://doi.org/10.1214/20-aoas1382

zbMATH Keywords

graphical modelsnetwork analysisHuntington's diseasemulti-modality datastructural co-variance networkwhite matter connectivity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic graphical models (62H22)

Uses Software

• glasso

Cites Work

• Sparse inverse covariance estimation with the graphical lasso
• Extended Bayesian information criteria for model selection with large model spaces
• Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
• The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes

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