NetFlow: A Framework to Explore Topological Representations of High-Dimensional Biomedical Data

Abstract excerpt

Biomedical datasets are increasingly high-dimensional and multi-modal, theoretically enabling a more comprehensive understanding of biological systems. However, common clustering and dimensionality reduction methods often oversimplify continua and obscure complex, biologically relevant patterns, hindering our ability to meaningfully probe sample relationships. To address this challenge, we developed NetFlow, a com...

Topics

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• Computational Biology
• DNA Copy Number Variations
• Genotype
• Glioblastoma
• Magnetic Resonance Imaging
• Mutation
• Phenotype

Identifiers and source

Literature Corpus work

42fe39eb-4253-524e-a89b-650aa0b0f07e

DOI

10.1101/2025.10.24.683878