Multi-Level Data Integration and Data Mining in Systems Biology

Author:

Alfieri Roberta1,Milanesi Luciano2

Affiliation:

1. CNR - Institute for Biomedical Technologies, Italy and CILEA, Italy

2. CNR - Institute for Biomedical Technologies, Italy

Abstract

This chapter aims to describe data integration and data mining techniques in the context of systems biology studies. It argues that the different methods available in the field of data integration can be very useful in making research in the field of systems biology easier. Moreover data mining is an important task to take into account in this context, therefore in this chapter, some aspects of data mining applied to systems biology specific case studies shall be discussed. The availability of a large number of specific resources, especially for the experimental researchers, is something difficult for users who tried to explore gene, protein, and pathway data for the first time. This chapter finally aims to highlight the complexity in the systems biology data and to provide an overview of the data integration and mining approaches in the context of systems biology using a specific example for the Cell Cycle database and the Cell Cycle models simulation.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3