生物信息学和医学信息学中的概率建模
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
English | PDF(True)| 2005 | 511页| ISBN:1852337788| 5.1 MB《生物信息学和医学信息学中的概率建模》专为统计学、机器学习和生物科学领域的研究人员和学生编写。本书的第一部分对贝叶斯网络的方法论进行了独立的介绍。以下部分展示了这些方法如何应用于生物信息学和医学信息学。这三个领域——概率建模方法、生物信息学和医学信息学——都在迅速发展。因此,本文应被视为一篇介绍,既提供初级教程,也提供更高级的应用程序和案例研究。本站不对文件进行储存,仅提供文件链接,请自行下载,本站不对文件内容负责,请自行判断文件是否安全,如发现文件有侵权行为,请联系管理员删除。
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