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Bayesian Combinatorial Multi-Study Factor Analysis

Published in arXiv (Cornell University) • Jul 24, 2020
Authors:
Isabella N. Grabski
,
Roberta De Vito
,
Lorenzo Trippa

Abstract

Analyzing multiple studies allows leveraging data from a range of sources and populations, but until recently, there have been limited methodologies to approach the joint unsupervised analysis of multiple high-dimensional studies. A recent method, Bayesian Multi-Study Factor Analysis (BMSFA), identi...

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