| 期刊全稱 | Association Analysis Techniques and Applications in Bioinformatics | | 影響因子2023 | Qingfeng Chen | | 視頻video | http://file.papertrans.cn/164/163501/163501.mp4 | | 發(fā)行地址 | Provides essential information on both theoretical and practical aspects of association analysis.Includes case studies that illustrate the application of data mining in computational biology.Offers re | | 圖書封面 |  | | 影響因子 | Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution and functional mechanisms, but also poses challenges for accurate and effective data analysis.?.This book offers an essential introduction to the theoretical and practical aspects of association analysis, including data pre-processing, data mining methods/algorithms, and tools that are widely applied for computational biology. It covers significant recent advances in the field, both foundational and application-oriented, helping readers understand the basic principles and emerging techniques used to discover interesting association patterns in diverse and heterogeneous biology data, such as structure-function correlations, and complex networks with gene/protein regulation.?.The main results and approaches are described in an easy-to-follow way and accompanied by sufficientreferences and suggestions for future research. This carefully edited monograph is intended to provide investigators in the fields of data mining, machine learning, artificial intelligence, and bioinformatics with a profound guide to the | | Pindex | Book 2024 |
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