Application and research progress of machine learning in Bioinformatics

机译：机器学习在生物信息学中的应用与研究进展

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Artificial intelligence is an important branch of computer science, and machine learning is an important component of artificial intelligence. Machine learning enables computers to simulate human learning behavior, acquire knowledge and life skills spontaneously through learning, and constantly improve their performance in the process of learning, so as to achieve self-improvement. Bioinformatics is an interdisciplinary subject that applies mathematics and computer science to the index, classification and analysis of biomolecular information. Due to the characteristics and requirements of data in bioinformatics, many algorithms of artificial intelligence, especially machine learning, have been widely used in this field, which has greatly promoted the development of bioinformatics. This paper reviews the application and research progress of machine learning technology in bioinformatics.

机译：人工智能是计算机科学的重要分支，机器学习是人工智能的重要组成部分。机器学习使计算机能够模拟人类学习行为，通过学习自发地获取知识和生活技能，并在学习过程中不断提高他们的性能，从而实现自我改善。生物信息学是一个跨学科的主题，将数学和计算机科学应用于生物分子信息的指数，分类和分析。由于生物信息学中数据的特点和要求，许多人工智能，特别是机器学习的算法已被广泛应用于该领域，这极大地促进了生物信息学的发展。本文综述了机器学习技术在生物信息学中的应用和研究进展。

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《International Conference on Computer Vision, Image and Deep Learning》|2020年|369-374|共6页
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Yanning Cai; Qian Dong; Anlan Li;
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Support vector machines; Training; Dimensionality reduction; Deep learning; Decision trees; Computer vision; Bioinformatics;

机译：支持向量机;培训;减少维度;深入学习;决策树;计算机视觉;生物信息学;

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1. Machine Learning Algorithm for Bioinformatics Applications [J] . IEI News group IEI News . 2019,第11期

机译：生物信息学应用机器学习算法
2. APPLICATION OF MACHINE LEARNING METHODS IN BIOINFORMATICS [J] . Wu S. F. Basic & clinical pharmacology & toxicology. . 2016,第Suppla1期

机译：机器学习方法在生物信息学中的应用
3. Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning [J] . Pin-Yu Chen, Sijia Liu SIGKDD explorations . 2019,第Udisk期

机译：Zeroth订单优化及其在数据挖掘和机器学习中对抗鲁棒性的应用中的最新进展
4. Neural Networks and Machine Learning in Bioinformatics - Theory and Applications [C] . Udo Seiffert, Barbara Hammer, Samuel Kaski, European Symposium on Artificial Neural Networks . 2006

机译：生物信息学的神经网络与机器学习 - 理论与应用
5. Signal processing and machine learning for bioinformatics applications [D] . Ghanat Bari, Mehrab. 2016

机译：生物信息学应用的信号处理和机器学习
6. Novel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applications [O] . Eleni Anthippi Chatzimichali, Conrad Bessant -1

机译：启发式优化的新颖应用使得能够为机器学习应用程序创建和全面评估鲁棒的支持向量机集合
7. The Bioinformatics Bookshelf: Teach Yourself Computational Biology? Bioinformatics: The Machine Learning Approach By Pierre Baldi and Soren Brunak Cambridge, MA: MIT Press (1998). 351 pp. $40.00; Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins Edited by Andreas D. Baxevanis and B. F. Francis Ouellette New York: Wiley-lnterscience (1998). 370 pp. $59.95; Guide to Human Genome Computing, Second Edition Edited by Martin J. Bishop San Diego, CA: Academic Press (1998). 306 pp. $69.95; Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids By Richard Durbin, Sean Eddy, Anders Krogh, and Graeme Mitchison Cambridge: Cambridge University Press (1998). 356 pp. $34.95; Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology By Dan Gusfield Cambridge: Cambridge University Press (1997). 534 pp. $59.95; Introduction to Computational Molecular Biology By Joao Setubal and Joao Meidanis Boston: PWS Publishing (1997). 296 pp. $61.95 [O] . Pickeral Oxana K, Boguski Mark S 1999

机译：生物信息学书架：自学计算生物学吗？生物信息学：机器学习方法，作者：Pierre Baldi和Soren Brunak剑桥，麻省：麻省理工学院出版社（1998）。 351页，$ 40.00；生物信息学：由Andreas D. Baxevanis和B. F. Francis Ouellette编辑的基因和蛋白质分析实用指南纽约：Wiley-Interscience（1998）。 370页，$ 59.95；《人类基因组计算指南》，第二版，由马丁·J·毕晓普（Martin J. Bishop）编辑，加利福尼亚州圣地亚哥：学术出版社（1998）。 306页，$ 69.95；生物序列分析：蛋白质和核酸的概率模型Richard Durbin，Sean Eddy，Anders Krogh和Graeme Mitchison剑桥：剑桥大学出版社（1998年）。 356页，$ 34.95；字符串，树和序列上的算法：计算机科学和计算生物学Dan Danssfield剑桥：剑桥大学出版社（1997年）。 534页，$ 59.95； Joao Setubal和Joao Meidanis Boston撰写的《计算分子生物学概论》：PWS出版（1997）。 296羽61.95美元

Application and research progress of machine learning in Bioinformatics

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