Association Analysis Techniques and Applications in Bioinformatics
Chen, Qingfeng
- 出版商: Springer
- 出版日期: 2024-04-26
- 售價: $7,010
- 貴賓價: 9.5 折 $6,660
- 語言: 英文
- 頁數: 388
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819982502
- ISBN-13: 9789819982509
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相關分類:
生物資訊 Bioinformatics
海外代購書籍(需單獨結帳)
相關主題
商品描述
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 role of association analysis in computational biology. It is also very useful as a general source of information on association analysis, and as an overall accompanying course book and self-study material for graduate students and researchers in both computer science and bioinformatics.商品描述(中文翻譯)
實驗技術的進步帶來了大量的生物學數據。這不僅為理解生物演化和功能機制提供了寶貴的數據來源，也為準確有效的數據分析提出了挑戰。
本書提供了關聯分析的理論和實踐方面的基本介紹，包括數據預處理、數據挖掘方法/算法以及廣泛應用於計算生物學的工具。它涵蓋了該領域的重要最新進展，既有基礎性的研究，也有應用導向的研究，幫助讀者了解在不同和異質的生物學數據中發現有趣的關聯模式的基本原理和新興技術，例如結構-功能相關性和具有基因/蛋白質調控的複雜網絡。
主要的結果和方法以易於理解的方式描述，並附有足夠的參考文獻和未來研究建議。這本經過精心編輯的專著旨在為數據挖掘、機器學習、人工智能和生物信息學領域的研究人員提供關聯分析在計算生物學中的重要指南。它也非常有用作關聯分析的一般信息來源，以及計算機科學和生物信息學研究生和研究人員的整體配套課程書和自學材料。
作者簡介
Qingfeng Chen received his BSc and MSc degrees in Mathematics from Guangxi Normal University, China, in 1995 and 1998, respectively, and his PhD in Computer Science from the University of Technology Sydney in September 2004. He is currently a Professor at Guangxi University, China and an honorary research fellow at La Trobe University, Australia. He has published many papers in top venues for machine learning and artificial intelligence, serves as an associate editor for top journals including Complexity & Intelligent systems, and has co-chaired several international conferences.
作者簡介(中文翻譯)
Qingfeng Chen於1995年和1998年分別在中國廣西師範大學獲得數學學士和碩士學位，並於2004年9月在悉尼科技大學獲得計算機科學博士學位。他目前是中國廣西大學的教授，也是澳大利亞拉筹伯大學的名譽研究員。他在機器學習和人工智能領域的頂級期刊上發表了許多論文，並擔任了包括《複雜性與智能系統》在內的頂級期刊的副編輯，並主持了幾個國際會議。
