Semi‐supervised empirical Bayes group‐regularized factor regression

DOI10.1002/bimj.202100105zbMath1523.62173arXiv2104.02419MaRDI QIDQ6068835

Carel F. W. Peeters, Magnus M. Münch, Aad W. van der Vaart, Mark A. van de Wiel

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.02419

zbMATH Keywords

empirical Bayeshigh-dimensional datasemisupervised learningfactor regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• The use of unlabeled data in predictive modeling
• Gene network reconstruction using global-local shrinkage priors
• Introduction to Semi-Supervised Learning
• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
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