Article

Cross-View Latent Integration via Nonparametric Gamma Shrinkage Factor Analysis

2026-01-02

Abstract excerpt

Factor analysis is a dominant paradigm for multi-omic heterogeneous data, but is challenged by partially redundant signals and noise across views and by an unknown true number of factors. We present CLING, an unsupervised multi-view factor model with hierarchical Bayesian sparsity priors: a product-of-Gammas prior inducing cumulative column-wise shrinkage (increasing with factor index) coupled with a Gamma-Gamma l...

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Literature Corpus work: 602f49e8-d318-5d22-b003-72cc254c728d
DOI: 10.64898/2026.01.02.697340

Open publication

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