生物信息学中的数据挖掘:挑战与机遇

Xiaohua Hu
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引用次数: 1

摘要

在这次演讲中,我将讨论生物信息学领域的一些数据挖掘技术和方法,主要的挑战和机遇是什么。我将涵盖一些与生物医学文献挖掘、生物信息学数据集成和生物网络分析与模拟相关的问题。在生物医学文献挖掘中,我将讨论生物医学文献的有效信息检索和大规模信息提取。我还将分享我对基于语义的生物信息学领域数据集成方法的看法。最后,我将讨论生物网络分析和模拟的各种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data mining in bioinformatics: challenges and opportunities
In this talk I will discuss some data mining techniques and methods in the bioinformatics domain, what are the main challenges and what are the opportunities. I will cover some of the issues related to biomedical literature mining, bioinformatics data integration and biological network analysis and simulation. In biomedical literature mining, I will discuss the effective information retrieval and large-scale information extraction from biomedical literatures. I will also share my view of the semantic-based approach for data integration for bioinformatics domain. In the end, I will talk about the various approaches for biological network analysis and simulation.
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