Abstract LB247: TCPAplus: An LLM-empowered chatbot for analyzing a large protein expression atlas of human cancers

Abstract We present a comprehensive functional proteomics resource comprising nearly 9,000 samples from The Cancer Genome Atlas and Cancer Cell Line Encyclopedia, using ~500 high-quality antibodies through reverse phase protein arrays. To enhance its utility, we have developed an analytical chatbot harnessing advanced large language models. This intuitive platform empowers researchers to effortlessly query protein-centered cancer omics data, conduct related analyses, and visualize results using natural language, significantly easing the translation from intricate proteogenomic data to valuable biological insights. Citation Format: Wei Liu, Jun Liu, Yitao Tang, Chaozhong Liu, Meiyi Song, Zhenlin Ju, Shweth V. Kumar, Yiling Lu, Rehan Akbani, Gordon Mills, Han Liang. TCPAplus: An LLM-empowered chatbot for analyzing a large protein expression atlas of human cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB247.