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Article

Leveraging Large Language Models for Redundancy-Aware Pathway Analysis and Deep Biological Interpretation

2025-08-28

Abstract excerpt

Extracting coherent, biologically meaningful insights from vast, complex multi-omics data remains challenging. Currently, pathway enrichment analysis serves as a cornerstone for the functional interpretation of such data. However, conventional approaches often suffer from extensive functional redundancy caused by shared molecular components and overlapping pathway definitions across databases. This redundancy can...

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Literature Corpus work
4eee0952-347e-5ac6-8f19-f851786092dc
DOI
10.1101/2025.08.23.671949
Open publication

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Leveraging Large Language Models for Redundancy-Aware Pathway Analysis and Deep Biological InterpretationDOI 10.1101/2025.08.23.671949
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