书目名称 | Intelligent Strategies for Pathway Mining |
副标题 | Model and Pattern Id |
编辑 | Qingfeng Chen,Baoshan Chen,Chengqi Zhang |
视频video | http://file.papertrans.cn/470/469972/469972.mp4 |
概述 | State of the art contents.Unique visibility.Focuses on selected topics |
丛书名称 | Lecture Notes in Computer Science |
图书封面 |  |
描述 | This book is organized into thirteen chapters that range over the relevant approaches and tools in data integration, modeling, analysis and knowledge discovery for signaling pathways. Having in mind that the book is also addressed for students, the contributors present the main results and techniques in an easily accessed and understood way together with many references and instances. Chapter 1 presents an introduction to signaling pathway, including motivations, background knowledge and relevant data mining techniques for pathway data analysis. Chapter 2 presents a variety of data sources and data analysis with respect to signaling pathway, including data integration and relevant data mining applications. Chapter 3 presents a framework to measure the inconsistency between heterogenous biological databases. A GO-based (genome ontology) strategy is proposed to associate different data sources. Chapter 4 presents identification of positive regulation of kinase pathways in terms of association rule mining. The results derived from this project could be used when predicting essential relationships and enable a comprehensive understanding of kinase pathway interaction. Chapter 5 present |
出版日期 | Book 2014 |
关键词 | association rule mining; bioinformatics; comparative genomics; gene regulation; protein structure predic |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-04172-8 |
isbn_softcover | 978-3-319-04171-1 |
isbn_ebook | 978-3-319-04172-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
issn_series | 0302-9743 |
copyright | Springer International Publishing Switzerland 2014 |