A Two-Step Algorithm for Handling Block-Wise Missing Data in Multi-Omics

High-throughput technologies produce large-scale omics datasets, and their integration facilitates biomarker discovery and predictive modeling. However, challenges such as data heterogeneity, high dimensionality, and block-wise missing data complicate the analysis. To address these issues, optimizat...

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Bibliographic Details
Main Authors: Sergi Baena-Miret, Ferran Reverter, Alex Sánchez, Esteban Vegas
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/7/3650
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