Bayesian multistudy factor analysis for high-throughput biological data

DOI10.1214/21-AOAS1456zbMath1498.62207arXiv1806.09896OpenAlexW2810324851MaRDI QIDQ2078285

Roberta De Vito, Ruggero Bellio, Giovanni Parmigiani, Lorenzo Trippa

Publication date: 28 February 2022

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

Full work available at URL: https://arxiv.org/abs/1806.09896

zbMATH Keywords

dimension reductionfactor analysisGibbs samplingmeta-analysisgene expression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Genetics and epigenetics (92D10)

Related Items (4)

Bayesian combinatorial multistudy factor analysis ⋮ Unnamed Item ⋮ A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer ⋮ Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data

Uses Software

• R
• Gephi
• MSFA

Cites Work

• Unnamed Item
• Unnamed Item
• A note on the multiplicative gamma process
• The varimax criterion for analytic rotation in factor analysis
• Sparse Bayesian infinite factor models
• Heterogeneous reciprocal graphical models
• Multi‐study factor analysis
• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• Bayesian analysis of static and dynamic factor models: an ex-post approach towards the rotation problem

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