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Titlebook: Intelligent Strategies for Pathway Mining; Model and Pattern Id Qingfeng Chen,Baoshan Chen,Chengqi Zhang Book 2014 Springer International P

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发表于 2025-3-21 18:05:02 | 显示全部楼层 |阅读模式
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videohttp://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Titlebook: Intelligent Strategies for Pathway Mining; Model and Pattern Id Qingfeng Chen,Baoshan Chen,Chengqi Zhang Book 2014 Springer International P
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
doihttps://doi.org/10.1007/978-3-319-04172-8
isbn_softcover978-3-319-04171-1
isbn_ebook978-3-319-04172-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Detecting Inconsistency in Biological Molecular Databases Using Ontologies,screpancies in nomenclature, various schemas and incompatible formats of biological databases, however, result in a significant lack of interoperability among databases. Therefore, data preparation is a key prerequisite for biological database mining. Integrating diverse biological molecular databas
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Exploration of Positive Frequent Patterns for AMP-Activated Protein Kinase Regulation,pply. An investigation into the degree of activation and deactivation of AMPK subunits under exercise can provide valuable data for understanding AMPK. In particular, the effect of AMPK on muscle cellular energy status makes this protein a promising pharmacological target for disease treatment. As m
发表于 2025-3-22 08:42:50 | 显示全部楼层
Mining Protein Kinase Regulation Using Graphical Models, characteristics of protein kinase regulation by studying the activation and inhibition of kinase subunits in response to varied stimuli. Bayesian network (BN) is a formalism for probabilistic reasoning that has been widely used for learning dependency models. However, for high-dimensional discrete
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Mining Inhibition Pathways for Protein Kinases on Skeletal Muscle,nto the degree of activation and inhibition of catalytic and regulatory subunits of protein kinases, assists in understanding their profound effect on a cell. Especially, the inhibitors of kinase activity are a frequent cause of diseases, where kinases participate many aspects that control cell grow
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Interval Based Similarity for Function Classification of RNA Pseudoknots,oded by biological sequences is important to acquire knowledge of their biochemical functions in varied pathways but remains a fundamental challenge. Recent interest in RNA regulation has resulted in a rapid growth of deposited RNA secondary structures in varied databases. However, a functional clas
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Discovery of Structural and Functional Features Bind to RNA Pseudoknots,ized that there is an abundance of functional structures with frameshifting, regulation of translation, and splicing functions. However, the inherent signal for secondary structures is weak and generally not straightforward due to complex interleaving substrings. This makes it difficult to explore t
发表于 2025-3-23 08:47:38 | 显示全部楼层
Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity,pathways. There are many literatures focusing on predicting miRNA target and exploring gene regulation network of miRNA family. We suggest, however, the study to identify the interaction between miRNAs is insufficient. This chapter presents a framework to identify relationships of miRNAs using joint
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