Foundation models for bioinformatics

Pub Date : 2024-07-24 DOI:10.1002/qub2.69
Ziyu Chen, Lin Wei, Ge Gao
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Abstract

Transformer‐based foundation models such as ChatGPTs have revolutionized our daily life and affected many fields including bioinformatics. In this perspective, we first discuss about the direct application of textual foundation models on bioinformatics tasks, focusing on how to make the most out of canonical large language models and mitigate their inherent flaws. Meanwhile, we go through the transformer‐based, bioinformatics‐tailored foundation models for both sequence and non‐sequence data. In particular, we envision the further development directions as well as challenges for bioinformatics foundation models.
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生物信息学基础模型
基于变换器的基础模型(如 ChatGPT)已经彻底改变了我们的日常生活,并影响了包括生物信息学在内的许多领域。在本视角中,我们首先讨论了文本基础模型在生物信息学任务中的直接应用,重点是如何充分利用经典大语言模型并减少其固有缺陷。同时,我们还讨论了基于转换器的、为序列和非序列数据定制的生物信息学基础模型。我们特别展望了生物信息学基础模型的进一步发展方向和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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