【创源大讲堂】Review of Recent Bioinformatic Work on Knowledgebases and Large Language Models

来源: 发布日期:2023-12-21浏览次数: 返回列表

讲座时间:2023年12月22日(星期五)上午9:30

讲座地点:犀浦校区3号教学楼X31541会议室

主讲人:Xiaobo Zhou教授

主讲人简介:

Dr. Xiaobo Zhou, Fellow of American Institute for Medical and Biological Engineering [AIMBE], a distinguished and tenured professor, holds The Dr. and Mrs. Carl V. Vartian Professorship at UTHealth® Houston, where he is the Director of the Center for Computational Systems Medicine. Dr. Zhou is a world-class scholar and expert in applying translational -omics, bioimaging, medical imaging, and EMR data to precision medicine. He has published over 350 international journal articles. Per Google Scholar, as of May 2023, Dr. Zhou’s research has been cited 18,726 times, and his h-index is 68. Since 2005, he has been fully and continuously funded by the NIH, NSF and other major funding entities. He is an extremely well-established, well-funded investigator and center director with internationally recognized expertise in basic, translational, and clinical research. Among noteworthy accomplishments, Dr. Zhou has pioneered high-content cellular imaging informatics, bioinformatics, systems biology, systems modeling-guided cancer and regenerative medicine, and imaging-aided surgical design/optimization.

内容简介:

Large Language Models are becoming a very popular approach in the Bioinformatics area. In this talk, I will first briefly go over the Five functional annotation databases and knowledgebases to be published in Nucleic Acids Research, Jan. 2024. These databases could be potentially applied for LLM research. I will then present a detailed summary of prominent large language models, such as BERT and GPT, and delve into their applications across various omics levels. The review will highlight the diverse applications of these models in genomics, transcriptomics, proteomics, drug discovery, and single-cell sequencing data analysis. This comprehensive exploration underscores the transformative impact that LLM can have on advancing bioinformatics research, providing powerful tools for deciphering complex biological data.

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作者:邹远   编辑:刘中慧