Article

Tensor-based machine learning for multi-omics integrative clustering and feature discovery

2025-12-02

Abstract excerpt

Multi-omics integrative analysis is pivotal for elucidating complex molecular mechanisms and biological processes, yet remains challenging due to the high dimensionality and heterogeneity of multi-omics data. Here we present MIA, a tensor-based machine learning framework for accurate sample clustering and feature discovery from multi-omics data. Unlike existing algorithms that primarily rely on two-dimensional rep...

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Literature Corpus work: d137b72c-974b-51c7-8d65-396b3f85db71
DOI: 10.64898/2025.11.28.691099

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