Article

MOFA-FLEX: A Factor Model Framework for Integrating Omics Data with Prior Knowledge

2025-11-04

Abstract excerpt

Latent factor models are first-line analysis approaches for single- and multi-omics data, essential for data integration, alignment, and biological signal discovery. To cater for new technologies and experimental designs, bespoke extensions of factor models have been proposed, incorporating spatial structure, temporal dynamics and the noise characteristics of single-cell assays. However, the development of tailore...

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Literature Corpus work: b29f1796-e626-5727-8026-f0a4153e1311
DOI: 10.1101/2025.11.03.686250

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