Evaluation of Large Language Models for Discovery of Gene Set Function

Exploration of Gene Set Function Discovery Using Large Language Models: GPT-4 Excels Academic Background In functional genomics, gene set enrichment analysis is a critical methodology for understanding gene functions and their associated biological processes. However, existing enrichment analyses rely heavily on curated gene function databases, suc...

Predicting Outcomes in Esophageal Squamous Cell Carcinoma Using scRNA-seq and Bulk RNA-seq: A Model Development and Validation Study

Prognostic Prediction Model for Esophageal Squamous Cell Carcinoma Based on Single-Cell RNA Sequencing and Bulk RNA Sequencing Research Background Esophageal Squamous Cell Carcinoma (ESCC) is one of the most common malignant tumors globally, particularly prevalent in East Asia. Despite existing treatment methods such as surgery, endoscopic resectio...

Limitations in Next-Generation Sequencing-Based Genotyping of Breast Cancer Polygenic Risk Score Loci

Limitations of Next-Generation Sequencing-Based Genotyping for Breast Cancer Polygenic Risk Score Loci Background Introduction In the prediction of hereditary Breast Cancer (BC), Polygenic Risk Scores (PRSs) are increasingly being used as an important tool for individual risk prediction. The calculation of PRS relies on accurately reproducing varia...