Article

Large Language Model-Driven Selection of Glutathione Peroxidase 4 as a Candidate Blood Transcriptional Biomarker for Circulating Erythroid Cells

2024-05-16

Abstract excerpt

<title>Abstract</title> <p>Background The identification of optimal candidate genes from large-scale blood transcriptomic data is crucial for developing targeted assays to monitor immune responses. Here, we employ a large language model (LLM)-based approach for prioritizing candidate biomarkers from blood transcriptional modules. Methods Focusing on module M14.51 from the BloodGen3 repertoire, which is associat...

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Literature Corpus work: e2010441-df4f-5e1e-b1ee-3c0c20a351a1
DOI: 10.21203/rs.3.rs-4397623/v1

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