Association Analysis Techniques and Applications in Bioinformatics
暫譯: 生物資訊中的關聯分析技術與應用
Chen, Qingfeng
- 出版商: Springer
- 出版日期: 2025-04-27
- 售價: $5,840
- 貴賓價: 9.5 折 $5,548
- 語言: 英文
- 頁數: 388
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819982537
- ISBN-13: 9789819982530
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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 sufficient references 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)
實驗技術的進步產生了大量的生物數據。這不僅提供了有價值的數據來源，幫助理解生物演化和功能機制，還對準確和有效的數據分析提出了挑戰。
本書提供了關於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，以及在計算生物學中廣泛應用的工具。它涵蓋了該領域的重要近期進展，無論是基礎性還是應用導向的，幫助讀者理解用於發現多樣且異質的生物數據中有趣的關聯模式的基本原則和新興技術，例如結構-功能相關性以及基因/蛋白質調控的複雜網絡。
主要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的建議。這本經過精心編輯的專著旨在為數據挖掘、機器學習、人工智慧和生物資訊學領域的研究人員提供關於關聯分析在計算生物學中角色的深刻指導。它也非常適合作為關聯分析的一般信息來源，以及計算機科學和生物資訊學研究生和研究人員的整體配套課本和自學材料。
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，並擔任澳大利亞拉籌布大學的榮譽研究員。他在機器學習和人工智慧的頂尖會議上發表了許多論文，並擔任《Complexity & Intelligent Systems》等頂尖期刊的副編輯，還共同主持了幾個國際會議。
