Article

Decoding Breast Cancer Heterogeneity via Multi-Omics Integration and Language Model-Based Interpretation

2025-06-30

Abstract excerpt

We present a novel pipeline combining Multi-Omics Factor Analysis (MOFA) and fine-tuned Large Language Models (LLMs) to predict breast cancer subtypes using proteomics, DNA methylation, and RNA-Seq data. Breast cancer is a heterogeneous disease characterized by diverse molecular alterations across multiple biological layers, necessitating integrative approaches for accurate subtype classification. Our methodology...

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Literature Corpus work: 0b24ede5-7a90-525e-b928-cc9a6874bdad
DOI: 10.1101/2025.06.26.661832

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