Article

A large language model for predicting pancreatic ductal adenocarcinoma patients from blood-derived exosomal transcriptomics data

2025-03-11

Abstract excerpt

<h4>ABSTRACT</h4> Traditional machine learning approaches for text or sequence classification rely on converting textual data into numerical representations. In this study, we investigate a reverse strategy in which numerical features are transformed into sequence representations and classified using large language models (LLMs). We applied this methodology to predict pancreatic ductal adenocarcinoma (PDAC) using...

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Literature Corpus work: ad7947de-a526-569f-90c0-d26d1c4d8e3e
DOI: 10.1101/2025.03.06.641795

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